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README.md

@@ -1,160 +1,485 @@
----
-language:
-- en
-thumbnail: null
-pipeline_tag: forced-alignment
-tags:
-- montreal-forced-aligner
-- forced-alignment
-license: cc-by-4.0
----
-# English MFA model
-
-## Model details
-
-- **Maintainer:** [Montreal Corpus Tools](https://huggingface.co/MontrealCorpusTools)
-- **Language:** [English](https://en.wikipedia.org/wiki/English_language)
-- **Dialect:** N/A
-- **Phone set:** [MFA](https://mfa-models.readthedocs.io/en/refactor/mfa_phone_set.html#english)
-- **Features:** `MFCC`
-- **Architecture:** `gmm-hmm`
-- **Model version:** `v3.1.0`
-- **Trained date:** `2024-06-12`
-- **Compatible MFA version:** `v3.1.0`
-- **License:** [CC BY 4.0](https://huggingface.co/MontrealCorpusTools/english_mfa/LICENSE)
-- **Citation:**
-
-```bibtex
-@techreport{mfa_english_mfa_acoustic_2024,
-	author={McAuliffe, Michael and Sonderegger, Morgan},
-	title={English MFA acoustic model v3.1.0},
-	address={\url{https://huggingface.co/MontrealCorpusTools/english_mfa}},
-	year={2024},
-	month={Jun},
-}
-```
-
-- If you have comments or questions about this model, you can check [previous MFA model discussion posts](https://github.com/MontrealCorpusTools/mfa-models/discussions?discussions_q=English+MFA+acoustic+model+v3.1.0) or create [a new one](https://github.com/MontrealCorpusTools/mfa-models/discussions/new).
-
-## Installation
-
-Install from the [MFA command line](https://montreal-forced-aligner.readthedocs.io/en/latest/user_guide/models/index.html):
-
-```
-mfa model download acoustic english_mfa
-```
-
-Or download from [the release page](https://github.com/MontrealCorpusTools/mfa-models/releases/tag/acoustic-english_mfa-v3.1.0).
-
-## Intended use
-
-This model is intended for forced alignment of [English](https://en.wikipedia.org/wiki/English_language) transcripts.
-
-This model uses the [MFA](https://mfa-models.readthedocs.io/en/refactor/mfa_phone_set.html#english) phone set for English, and was trained with the pronunciation dictionaries above. Pronunciations can be added on top of the dictionary, as long as no additional phones are introduced.
-
-## Performance Factors
-
-As forced alignment is a relatively well-constrained problem (given accurate transcripts), this model should be applicable to a range of recording conditions and speakers. However, please note that it was trained on read speech in low-noise environments, so as your data diverges from that, you may run into alignment issues or need to [increase the beam size of MFA](https://montreal-forced-aligner.readthedocs.io/en/latest/user_guide/configuration/#configuring-specific-commands) or see other recommendations in the [troubleshooting section below](#troubleshooting-issues).
-
-Please note as well that MFA does not use state-of-the-art ASR models for forced alignment. You may get better performance (especially on speech-to-text tasks) using other frameworks like [Coqui](https://coqui.ai/).
-
-## Metrics
-
-Acoustic models are typically generated as one component of a larger ASR system where the metric is word error rate (WER). For forced alignment, there is typically not the same sort of gold standard measure for most languages.
-
-As a rough approximation of the acoustic model quality, we evaluated it against the corpus it was trained on alongside a language model trained from the same data.  Key caveat here is that this is not a typical WER measure on held out data, so it should not be taken as a hard measure of how well an acoustic model will generalize to your data, but rather is more of a sanity check that the training data quality was sufficiently high.
-
-Using the pronunciation dictionaries and language models above:
-
-- **WER:** `0%`
-- **CER:** `0%`
-
-## Ethical considerations
-
-Deploying any Speech-to-Text model into any production setting has ethical implications. You should consider these implications before use.
-
-### Demographic Bias
-
-You should assume every machine learning model has demographic bias unless proven otherwise. For STT models, it is often the case that transcription accuracy is better for men than it is for women. If you are using this model in production, you should acknowledge this as a potential issue.
-
-### Surveillance
-
-Speech-to-Text technologies may be misused to invade the privacy of others by recording and mining information from private conversations. This kind of individual privacy is protected by law in many countries. You should not assume consent to record and analyze private speech.
-
-
-## Troubleshooting issues
-
-Machine learning models (like this acoustic model) perform best on data that is similar to the data on which they were trained.
-
-The primary sources of variability in forced alignment will be the applicability of the pronunciation dictionary and how similar the speech, demographics, and recording conditions are. If you encounter issues in alignment, there are couple of avenues to improve performance:
-
-1. [Increase the beam size of MFA](https://montreal-forced-aligner.readthedocs.io/en/latest/user_guide/configuration/#configuring-specific-commands)
-
-   * MFA defaults to a narrow beam to ensure quick alignment and also as a way to detect potential issues in your dataset, but depending on your data, you might benefit from boosting the beam to 100 or higher.
-
-2. Add pronunciations to the pronunciation dictionary
-
-   * This model was trained a particular dialect/style, and so adding pronunciations more representative of the variety spoken in your dataset will help alignment.
-
-3. Check the quality of your data
-
-   * MFA includes a [validator utility](https://montreal-forced-aligner.readthedocs.io/en/latest/user_guide/data_validation.html), which aims to detect issues in the dataset.
-   * Use MFA's [anchor utility](https://montreal-forced-aligner.readthedocs.io/en/latest/user_guide/workflows/anchor.html) to visually inspect your data as MFA sees it and correct issues in transcription or OOV items.
-
-4. Adapt the model to your data
-
-   * MFA has an [adaptation command](https://montreal-forced-aligner.readthedocs.io/en/latest/user_guide/workflows/adapt_acoustic_model.html) to adapt some of the model to your data based on an initial alignment, and then run another alignment with the adapted model.
-
-## Training data
-
-This model was trained on the following corpora:
-
-   * [Common Voice English v17](https://datacollective.mozillafoundation.org/datasets/cmj8u3p1w0075nxxbe8bedl00):
-     * **Hours:** `2322.80`
-     * **Speakers:** `71,160`
-     * **Utterances:** `1,625,987`
-
-   * [LibriSpeech English](https://openslr.org/12/):
-     * **Hours:** `982.10`
-     * **Speakers:** `2,484`
-     * **Utterances:** `292,367`
-
-   * [Corpus of Regional African American Language](https://oraal.github.io/coraal):
-     * **Hours:** `124.31`
-     * **Speakers:** `193`
-     * **Utterances:** `236,792`
-
-   * [Google Nigerian English](https://openslr.org/70/):
-     * **Hours:** `5.77`
-     * **Speakers:** `31`
-     * **Utterances:** `3,359`
-
-   * [Google UK and Ireland English](https://openslr.org/83/):
-     * **Hours:** `31.29`
-     * **Speakers:** `120`
-     * **Utterances:** `17,877`
-
-   * [NCHLT English](https://repo.sadilar.org/items/d944b028-6a86-4edf-a7d9-7f5e21544a41):
-     * **Hours:** `56.43`
-     * **Speakers:** `210`
-     * **Utterances:** `77,412`
-
-   * [ARU English corpus](https://datacat.liverpool.ac.uk/681/):
-     * **Hours:** `7.13`
-     * **Speakers:** `12`
-     * **Utterances:** `8,640`
-
-   * [ICE-Nigeria](https://sourceforge.net/projects/ice-nigeria/):
-     * **Hours:** `52.86`
-     * **Speakers:** `1,276`
-     * **Utterances:** `113,664`
-
-   * [A Scripted Pakistani English Daily-use Speech Corpus](https://magichub.com/datasets/pakistani-english-scripted-speech-corpus-daily-use-sentence/):
-     * **Hours:** `4.00`
-     * **Speakers:** `7`
-     * **Utterances:** `2,191`
-
-   * [L2-ARCTIC](https://psi.engr.tamu.edu/l2-arctic-corpus/):
-     * **Hours:** `27.51`
-     * **Speakers:** `24`
-     * **Utterances:** `27,042`
+---
+language:
+- en
+pipeline_tag: forced-alignment
+library_name: montreal-forced-aligner
+tags:
+- montreal-forced-aligner
+- forced-alignment
+license: cc-by-4.0
+---
+# Model Card for english_mfa
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+This MFA model is for aligning Global English across multiple dialects.
+
+- [Model details](#model-details)
+- [Uses](#uses)
+- [Performance Factors](#how-to-get-started-with-the-model)
+- [Dictionary Details](#dictionary-details)
+- [Training Details](#training-details)
+- [Evaluation](#evaluation)
+- [Contact](#contact)
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** Michael McAuliffe
+- **Funded by:** N/A
+- **Model type:** Montreal Forced Aligner model
+- **Language(s) (NLP):** English
+- **License:** cc-by-4.0
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+This model is intended to be used for forced alignment of English varieties that it was trained on (US, UK, Indian, Nigerian Englishes).  Please see https://montreal-forced-aligner.readthedocs.io/en/latest/user_guide/troubleshooting.html for details on common fixes.
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+This model cannot provide accurate assessments of goodness of pronunciations or provide transcripts as it is trained to be accepting of variation in pronunciation to provide a reasonable alignment across many varieties of English.
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+This model will perform best on the variety of speech that it was trained on, with a bias towards US English.  The speakers in the training data are all adult speakers, so child speech alignment may not be accurate.
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+When using this model on a variety that it was not trained on, better results can be attained by adapting the model to the data to be aligned first.  See https://montreal-forced-aligner.readthedocs.io/en/latest/user_guide/workflows/adapt_acoustic_model.html and https://github.com/mmcauliffe/mfa-adaptation for example usage and scripts.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+To get started, follow the instructions for [installing MFA](https://montreal-forced-aligner.readthedocs.io/en/latest/getting_started.html). To align files using this model, use the [mfa align](https://montreal-forced-aligner.readthedocs.io/en/latest/user_guide/workflows/alignment.html) command.
+
+## Dictionary Details
+
+#### Details for english_nigeria_mfa dictionary and G2P model
+
+- **Source:** wikipron
+- **Orthography:** Latin
+- **Phone set:** MFA
+- **Words:** 77,407
+* **Phones:** 66
+* **Graphemes:** 46
+
+##### IPA chart
+
+###### Consonants
+
+| Manner | Labial | Labiodental | Dental | Alveolar | Alveopalatal | Palatal | Velar | Glottal |
+| :----: | :----: | :----: | :----: | :----: | :----: | :----: | :----: | :----: |
+| **Nasal** | m | ɱ |  | n |  | ɲ | ŋ | |
+| Palatalized | mʲ |  |  |  |  |  |  | |
+| **Stop** | p     b |  | t̪     d̪ | t     d |  | c     ɟ | k     ɡ | |
+| Aspirated | pʰ |  |  | tʰ |  | cʰ | kʰ | |
+| Labialized |  |  |  | tʷ |  | cʷ     ɟʷ | kʷ     ɡʷ | |
+| Palatalized | pʲ     bʲ |  |  | tʲ     dʲ |  |  |  | |
+| **Affricate** |  |  |  |  | tʃ     dʒ |  |  | |
+| **Sibilant** |  |  |  | s     z | ʃ |  |  | |
+| **Fricative** |  | f     v | θ     ð |  |  | ç |  | h|
+| Palatalized |  | fʲ     vʲ |  |  |  |  |  | |
+| **Approximant** | w |  |  | ɹ |  | j |  | |
+| **Lateral** |  |  |  | l ɫ |  | ʎ |  |  |
+
+###### Vowels
+
+|  | Front | Near-Front | Central | Near-Back | Back |
+| :----: | :----: | :----: | :----: | :----: | :----: |
+| **Close** | i iː |  |  |  | u uː|
+|  |  |  |  | ʊ | |
+| **Close-Mid** | e |  |  |  | o|
+|  |  |  |  |  | |
+| **Open-Mid** | ɛ ɛː |  | ɜ ɜː |  | ɔ|
+|  |  |  |  |  | |
+| **Open** |  |  | a aː |  |  |
+
+##### Diphthongs
+* aj
+* ɔj
+* aw
+
+
+#### Other
+* kp
+
+
+#### Details for english_india_mfa dictionary and G2P model
+
+- **Source:** wikipron
+- **Orthography:** Latin
+- **Phone set:** MFA
+- **Words:** 123,926
+* **Phones:** 64
+* **Graphemes:** 62
+
+##### IPA chart
+
+###### Consonants
+
+| Manner | Labial | Labiodental | Dental | Alveolar | Alveopalatal | Retroflex | Palatal | Velar | Glottal |
+| :----: | :----: | :----: | :----: | :----: | :----: | :----: | :----: | :----: | :----: |
+| **Nasal** | m | ɱ |  | n |  |  | ɲ | ŋ | |
+| Palatalized | mʲ |  |  |  |  |  |  |  | |
+| **Stop** | p     b |  | t̪     d̪ |  |  | ʈ     ɖ | c     ɟ | k     ɡ | ʔ|
+| Labialized | pʷ |  |  |  |  | ʈʷ | cʷ     ɟʷ | kʷ     ɡʷ | |
+| Palatalized | pʲ     bʲ |  |  |  |  | ʈʲ |  |  | |
+| **Affricate** |  |  |  |  | tʃ     dʒ |  |  |  | |
+| **Sibilant** |  |  |  | s     z | ʃ     ʒ |  |  |  | |
+| **Fricative** |  | f |  |  |  |  | ç |  | h|
+| Palatalized |  | fʲ |  |  |  |  |  |  | |
+| **Approximant** |  | ʋ |  | ɹ |  |  | j |  | |
+| **Tap** |  |  |  | ɾ |  |  |  |  | |
+| **Lateral** |  |  |  | l |  |  | ʎ |  |  |
+
+###### Vowels
+
+|  | Front | Near-Front | Central | Near-Back | Back |
+| :----: | :----: | :----: | :----: | :----: | :----: |
+| **Close** | i iː |  | ʉ ʉː |  | |
+|  |  | ɪ |  | ʊ | |
+| **Close-Mid** | eː |  |  |  | oː|
+|  |  |  | ə |  | |
+| **Open-Mid** | ɛ ɛː |  | ɜ ɜː |  | |
+|  |  |  |  |  | |
+| **Open** |  |  | a aː |  | ɑ ɑː     ɒ ɒː |
+
+##### Diphthongs
+* aj
+* ɔj
+* aw
+
+
+#### Details for english_uk_mfa dictionary and G2P model
+
+- **Source:** wikipron
+- **Orthography:** Latin
+- **Phone set:** MFA
+- **Words:** 186,963
+* **Phones:** 78
+* **Graphemes:** 88
+
+##### IPA chart
+
+###### Consonants
+
+| Manner | Labial | Labiodental | Dental | Alveolar | Alveopalatal | Palatal | Velar | Glottal |
+| :----: | :----: | :----: | :----: | :----: | :----: | :----: | :----: | :----: |
+| **Nasal** | m m̩ | ɱ |  | n n̩ |  | ɲ | ŋ | |
+| Palatalized | mʲ |  |  |  |  |  |  | |
+| **Stop** | p     b |  | t̪     d̪ | t     d |  | c     ɟ | k     ɡ | ʔ|
+| Aspirated | pʰ |  |  | tʰ |  | cʰ | kʰ | |
+| Labialized | pʷ |  |  | tʷ |  | cʷ     ɟʷ | kʷ     ɡʷ | |
+| Palatalized | pʲ     bʲ |  |  | tʲ     dʲ |  |  |  | |
+| **Affricate** |  |  |  |  | tʃ     dʒ |  |  | |
+| **Sibilant** |  |  |  | s     z | ʃ     ʒ |  |  | |
+| **Fricative** |  | f     v | θ     ð |  |  | ç |  | h|
+| Labialized |  | vʷ |  |  |  |  |  | |
+| Palatalized |  | fʲ     vʲ |  |  |  |  |  | |
+| **Approximant** | w |  |  | ɹ |  | j |  | |
+| **Lateral** |  |  |  | l ɫ ɫ̩ |  | ʎ |  |  |
+
+###### Vowels
+
+|  | Front | Near-Front | Central | Near-Back | Back |
+| :----: | :----: | :----: | :----: | :----: | :----: |
+| **Close** | i iː |  | ʉ ʉː |  | |
+|  |  | ɪ |  | ʊ | |
+| **Close-Mid** | e ej |  |  |  | |
+|  |  |  | ə |  | |
+| **Open-Mid** | ɛ ɛː |  | ɜ ɜː |  | |
+|  |  |  | ɐ |  | |
+| **Open** |  |  | a |  | ɑ ɑː     ɒ ɒː |
+
+##### Diphthongs
+* ej
+* əw
+* ɔj
+* aw
+* aj
+
+
+#### Details for english_us_mfa dictionary and G2P model
+
+- **Source:** wikipron
+- **Orthography:** Latin
+- **Phone set:** MFA
+- **Words:** 251,336
+* **Phones:** 78
+* **Graphemes:** 87
+
+##### IPA chart
+
+###### Consonants
+
+| Manner | Labial | Labiodental | Dental | Alveolar | Alveopalatal | Palatal | Velar | Glottal |
+| :----: | :----: | :----: | :----: | :----: | :----: | :----: | :----: | :----: |
+| **Nasal** | m m̩ | ɱ |  | n n̩ |  | ɲ | ŋ | |
+| Palatalized | mʲ |  |  |  |  |  |  | |
+| **Stop** | p     b |  | t̪     d̪ | t     d |  | c     ɟ | k     ɡ | ʔ|
+| Aspirated | pʰ |  |  | tʰ |  | cʰ | kʰ | |
+| Labialized | pʷ |  |  | tʷ |  | cʷ     ɟʷ | kʷ     ɡʷ | |
+| Palatalized | pʲ     bʲ |  |  | tʲ     dʲ |  |  |  | |
+| **Affricate** |  |  |  |  | tʃ     dʒ |  |  | |
+| **Sibilant** |  |  |  | s     z | ʃ     ʒ |  |  | |
+| **Fricative** |  | f     v | θ     ð |  |  | ç |  | h|
+| Palatalized |  | fʲ     vʲ |  |  |  |  |  | |
+| **Approximant** | w |  |  | ɹ |  | j |  | |
+| **Tap** |  |  |  | ɾ ɾ̃ |  |  |  | |
+| Palatalized |  |  |  | ɾʲ |  |  |  | |
+| **Lateral** |  |  |  | l ɫ ɫ̩ |  | ʎ |  |  |
+
+###### Vowels
+
+|  | Front | Near-Front | Central | Near-Back | Back |
+| :----: | :----: | :----: | :----: | :----: | :----: |
+| **Close** | i iː |  | ʉ ʉː |  | |
+|  |  | ɪ |  | ʊ | |
+| **Close-Mid** | ej |  |  |  | ow|
+|  |  |  | ə ɚ |  | |
+| **Open-Mid** | ɛ |  | ɝ |  | |
+|  | æ |  | ɐ |  | |
+| **Open** |  |  |  |  | ɑ ɑː     ɒ ɒː |
+
+##### Diphthongs
+* ej
+* ɔj
+* aw
+* ow
+* aj
+
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+#### ARU English corpus
+
+- **Source:** http://datacat.liverpool.ac.uk/681/
+- **License:** CC BY 3.0
+- **Dialects:** uk
+- **Number of hours:** 7.13
+- **Number of utterances:** 8,640
+- **Number of speakers:** 12
+  - **Female speakers:** 0
+  - **Male speakers:** 0
+  - **Unknown speakers:** 0
+
+
+#### Common Voice English
+
+- **Source:** https://voice.mozilla.org/en/datasets
+- **License:** CC-0
+- **Dialects:** us, uk, nigeria, india
+- **Number of hours:** 2,322.80
+- **Number of utterances:** 1,625,987
+- **Number of speakers:** 71,160
+  - **Female speakers:** 3,750
+  - **Male speakers:** 14,586
+  - **Unknown speakers:** 52,824
+
+
+#### Corpus of Regional African American Language
+
+- **Source:** https://oraal.uoregon.edu/coraal
+- **License:** CC BY-NC-SA 4.0
+- **Dialects:** us
+- **Number of hours:** 124.31
+- **Number of utterances:** 236,792
+- **Number of speakers:** 193
+  - **Female speakers:** 88
+  - **Male speakers:** 94
+  - **Unknown speakers:** 11
+
+
+#### Google Nigerian English
+
+- **Source:** https://openslr.org/70/
+- **License:** CC BY-SA 4.0
+- **Dialects:** nigeria
+- **Number of hours:** 5.77
+- **Number of utterances:** 3,359
+- **Number of speakers:** 31
+  - **Female speakers:** 19
+  - **Male speakers:** 12
+  - **Unknown speakers:** 0
+
+
+#### Google UK and Ireland English
+
+- **Source:** https://openslr.org/83/
+- **License:** CC BY-SA 4.0
+- **Dialects:** uk
+- **Number of hours:** 31.29
+- **Number of utterances:** 17,877
+- **Number of speakers:** 120
+  - **Female speakers:** 49
+  - **Male speakers:** 71
+  - **Unknown speakers:** 0
+
+
+#### ICE-Nigeria
+
+- **Source:** https://sourceforge.net/projects/ice-nigeria/
+- **License:** CC BY-NC-SA 3.0
+- **Dialects:** nigeria
+- **Number of hours:** 52.86
+- **Number of utterances:** 113,664
+- **Number of speakers:** 1,276
+  - **Female speakers:** 293
+  - **Male speakers:** 853
+  - **Unknown speakers:** 130
+
+
+#### L2-ARCTIC
+
+- **Source:** https://psi.engr.tamu.edu/l2-arctic-corpus/
+- **License:** CC BY-NC 4.0
+- **Dialects:** N/A
+- **Number of hours:** 27.51
+- **Number of utterances:** 27,042
+- **Number of speakers:** 24
+  - **Female speakers:** 12
+  - **Male speakers:** 12
+  - **Unknown speakers:** 0
+
+
+#### LibriSpeech English
+
+- **Source:** https://openslr.org/12/
+- **License:** CC BY 4.0
+- **Dialects:** us
+- **Number of hours:** 982.10
+- **Number of utterances:** 292,367
+- **Number of speakers:** 2,484
+  - **Female speakers:** 1,283
+  - **Male speakers:** 1,201
+  - **Unknown speakers:** 0
+
+
+#### NCHLT English
+
+- **Source:** https://repo.sadilar.org/handle/20.500.12185/274
+- **License:** CC BY 3.0
+- **Dialects:** N/A
+- **Number of hours:** 56.43
+- **Number of utterances:** 77,412
+- **Number of speakers:** 210
+  - **Female speakers:** 0
+  - **Male speakers:** 0
+  - **Unknown speakers:** 210
+
+
+#### A Scripted Pakistani English Daily-use Speech Corpus
+
+- **Source:** https://magichub.com/datasets/pakistani-english-scripted-speech-corpus-daily-use-sentence/
+- **License:** CC BY-NC-ND 4.0
+- **Dialects:** india
+- **Number of hours:** 4.00
+- **Number of utterances:** 2,191
+- **Number of speakers:** 7
+  - **Female speakers:** 3
+  - **Male speakers:** 4
+  - **Unknown speakers:** 0
+
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing
+
+Preprocessing include fixes and orthographic standardization to various corpora.
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [Training configuration](config.yaml)
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+N/A
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+N/A
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+N/A
+
+### Results
+
+N/A
+
+#### Summary
+
+
+
+## Technical Specifications
+
+### Model Architecture and Objective
+
+HMM-GMM model
+
+#### Software
+
+This model was trained via the [Montreal Forced Aligner](https://montreal-forced-aligner.readthedocs.io/).
+
+## Citation
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+```
+@techreport{mfa_english_mfa_acoustic_2026,
+	author={McAuliffe, Michael and Sonderegger, Morgan},
+	title={Global English MFA acoustic model v3.3.0},
+	address={\url{https://huggingface.co/MontrealCorpusTools/english_mfa}},
+	year={2026},
+	month={Jun},
+}
+```
+
+**APA:**
+
+```
+McAuliffe, M. & Sonderegger, M. (2026). Global English MFA acoustic model v3.3.0. Available at https://huggingface.co/MontrealCorpusTools/english_mfa.
+```
+
+## Contact
+
+For questions and issues, please file an issue either for this model at https://huggingface.co/MontrealCorpusTools/english_mfa/discussions or for larger MFA issues at https://github.com/MontrealCorpusTools/Montreal-Forced-Aligner/issues.

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acoustic/meta.json

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-{
-    "phones": [
-        "a",
-        "aj",
-        "aw",
-        "aː",
-        "b",
-        "bʲ",
-        "c",
-        "cʰ",
-        "cʷ",
-        "d",
-        "dʒ",
-        "dʲ",
-        "d̪",
-        "e",
-        "ej",
-        "eː",
-        "f",
-        "fʲ",
-        "fʷ",
-        "h",
-        "i",
-        "iː",
-        "j",
-        "k",
-        "kp",
-        "kʰ",
-        "kʷ",
-        "l",
-        "m",
-        "mʲ",
-        "m̩",
-        "n",
-        "n̩",
-        "o",
-        "ow",
-        "oː",
-        "p",
-        "pʰ",
-        "pʲ",
-        "pʷ",
-        "s",
-        "t",
-        "tʃ",
-        "tʰ",
-        "tʲ",
-        "tʷ",
-        "t̪",
-        "u",
-        "uː",
-        "v",
-        "vʲ",
-        "vʷ",
-        "w",
-        "z",
-        "æ",
-        "ç",
-        "ð",
-        "ŋ",
-        "ɐ",
-        "ɑ",
-        "ɑː",
-        "ɒ",
-        "ɒː",
-        "ɔ",
-        "ɔj",
-        "ɖ",
-        "ə",
-        "əw",
-        "ɚ",
-        "ɛ",
-        "ɛː",
-        "ɜ",
-        "ɜː",
-        "ɝ",
-        "ɟ",
-        "ɟʷ",
-        "ɡ",
-        "ɡb",
-        "ɡʷ",
-        "ɪ",
-        "ɫ",
-        "ɫ̩",
-        "ɱ",
-        "ɲ",
-        "ɹ",
-        "ɾ",
-        "ɾʲ",
-        "ɾ̃",
-        "ʃ",
-        "ʈ",
-        "ʈʲ",
-        "ʈʷ",
-        "ʉ",
-        "ʉː",
-        "ʊ",
-        "ʋ",
-        "ʎ",
-        "ʒ",
-        "ʔ",
-        "θ"
-    ],
-    "phone_mapping": {
-        "<eps>": 0,
-        "sil": 1,
-        "spn": 2,
-        "a": 3,
-        "aj": 4,
-        "aw": 5,
-        "aː": 6,
-        "b": 7,
-        "bʲ": 8,
-        "c": 9,
-        "cʰ": 10,
-        "cʷ": 11,
-        "d": 12,
-        "dʒ": 13,
-        "dʲ": 14,
-        "d̪": 15,
-        "e": 16,
-        "ej": 17,
-        "eː": 18,
-        "f": 19,
-        "fʲ": 20,
-        "fʷ": 21,
-        "h": 22,
-        "i": 23,
-        "iː": 24,
-        "j": 25,
-        "k": 26,
-        "kp": 27,
-        "kʰ": 28,
-        "kʷ": 29,
-        "l": 30,
-        "m": 31,
-        "mʲ": 32,
-        "m̩": 33,
-        "n": 34,
-        "n̩": 35,
-        "o": 36,
-        "ow": 37,
-        "oː": 38,
-        "p": 39,
-        "pʰ": 40,
-        "pʲ": 41,
-        "pʷ": 42,
-        "s": 43,
-        "t": 44,
-        "tʃ": 45,
-        "tʰ": 46,
-        "tʲ": 47,
-        "tʷ": 48,
-        "t̪": 49,
-        "u": 50,
-        "uː": 51,
-        "v": 52,
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-        "w": 55,
-        "z": 56,
-        "æ": 57,
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-        "ð": 59,
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-        "ɫ": 83,
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-    },
-    "phone_groups": {
-        "0": [
-            "kp",
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-            "pʲ",
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-        "1": [
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-        ],
-        "4": [
-            "θ"
-        ],
-        "5": [
-            "t̪"
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-        "12": [
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-        "17": [
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-        "18": [
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-        "20": [
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-        "22": [
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-        "26": [
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-        "27": [
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-        "28": [
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-        "29": [
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-        "32": [
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[0.09751554448052314, 0.05409676711699122], "ɡʷ": [0.08809184081852436, 0.04692488250644544], "h": [0.08660672118361584, 0.040624122449439075], "i": [0.09459434856090432, 0.06015131439302873], "ɪ": [0.06830450724231624, 0.03511234010039717], "iː": [0.10143787406028586, 0.05840759309624196], "j": [0.0825459297483352, 0.05326654640445931], "ɟ": [0.0766474878501772, 0.030192791961081236], "ɟʷ": [0.08722258877511356, 0.03186477349812215], "k": [0.08933208146763405, 0.04287748206167747], "kʰ": [0.10296721379074025, 0.03476324983444999], "kp": [0.09711637636562725, 0.04301044261560203], "kʷ": [0.11531015026312741, 0.03714559101863666], "l": [0.06830065852495266, 0.034652915474955776], "ɫ": [0.0878066565093525, 0.05523077344492323], "ɫ̩": [0.08832689508076336, 0.05855201626003051], "m": [0.07980226949780918, 0.041548323512223796], "ɱ": [0.070740150968006, 0.024138439855181663], "m̩": [0.08006235701331495, 0.0670923349263587], "mʲ": [0.07335477171111972, 0.029321946324644205], "n": [0.07191813138139301, 0.04374751873121665], "ɲ": [0.06542148750363078, 0.03419373040175059], "n̩": [0.09225788769292897, 0.062406962859662296], "ŋ": [0.08762470355792983, 0.043849409890137026], "o": [0.10849475992278206, 0.06840596862200177], "oː": [0.13336331816723984, 0.07385015010242489], "ow": [0.12764519862481935, 0.06854029448733062], "p": [0.09071366695531337, 0.03622525982991457], "pʰ": [0.10506242983899099, 0.03773000343602282], "pʲ": [0.09607966126381594, 0.032876109461520774], "pʷ": [0.10605321510841972, 0.04248433790804683], "ɹ": [0.07086134772860174, 0.038514792414387045], "ɾ": [0.053939316512832514, 0.07740569380208917], "ɾ̃": [0.09539373628990916, 0.23970420480132448], "ɾʲ": [0.03950175780476856, 0.01660296108814163], "s": [0.11357816423507326, 0.054458969770306564], "ʃ": [0.12859709282561968, 0.041161968949410946], "t": [0.0749092220579157, 0.046336768722317706], "ʈ": [0.08623666792238285, 0.058134635933384075], "t̪": [0.10996077656380078, 0.11498626245042727], "tʰ": [0.10183123845830042, 0.03867925802672462], "tʲ": [0.07898593631839401, 0.036588163501002496], "ʈʲ": [0.07832758219293608, 0.03324351901965623], "tʃ": [0.12145799685538634, 0.04858541703805097], "tʷ": [0.12272614546458566, 0.034461749511271254], "ʈʷ": [0.10453061121019647, 0.046062961025250954], "u": [0.08646152768529218, 0.10835995528660126], "ʉ": [0.0905707652836935, 0.060791946075206084], "ʊ": [0.06686625861635767, 0.04234201970320256], "uː": [0.10373890756678743, 0.11768627806624649], "ʉː": [0.09494554586736738, 0.062031901782881045], "v": [0.07185915859841337, 0.03433136275028505], "ʋ": [0.08608389455452445, 0.05491973579307793], "vʲ": [0.0665468357060222, 0.026873985261574713], "vʷ": [0.09806724356002167, 0.02614422550551663], "w": [0.073223942847704, 0.034440441683268076], "ʎ": [0.06968119679049356, 0.03262046397465663], "z": [0.0982185644916374, 0.06412919934151423], "ʒ": [0.08995120454225623, 0.02588555134596066], "ʔ": [0.1421603767868905, 0.27385289152961306], "θ": [0.1000807769403581, 0.049646023502314875]}}

acoustic/tree

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:71d2741b42fe55707ca41d908d6157bc94c6171623b156f71274b13ecb6dade7
-size 468787
+oid sha256:c34756df29372f4d253be21f485c6d6393c3638403ef1adcec552cb458db9842
+size 428123

dictionary/rules.yaml

@@ -0,0 +1,1382 @@
+dialects:
+  india:
+  - following_context: $
+    non_silence_before_correction: 0.06
+    preceding_context: (ʊ|ɔj|ɝ|ɛ|ej|ɜ|a|u|o|ow|æ|aw|əw|aj|ɐ|ɪ|ə|ɔ|e|ɚ|ɑ|ʉ|ɒ|i)ː?
+    probability: 0.01
+    replacement: ''
+    segment: '[tʈ]'
+    silence_after_probability: 2.93
+    silence_before_correction: -0.12
+  - following_context: '[tʈpkcsʃf][ʲʷ]?'
+    non_silence_before_correction: 0.1
+    preceding_context: ''
+    probability: 0.01
+    replacement: p
+    segment: b
+    silence_after_probability: 64.0
+    silence_before_correction: -0.19
+  - following_context: '[tpkcsʃf][ʲʷ]?'
+    non_silence_before_correction: 0.15
+    preceding_context: ''
+    probability: 0.01
+    replacement: k
+    segment: ɡ
+    silence_after_probability: 67.0
+    silence_before_correction: -0.24
+  - following_context: '[vʋf]ʲ?'
+    non_silence_before_correction: 0.12
+    preceding_context: ''
+    probability: 0.01
+    replacement: ɱ
+    segment: m
+    silence_after_probability: 16.0
+    silence_before_correction: -0.21
+  - following_context: '[vʋf]ʲ?'
+    non_silence_before_correction: 0.16
+    preceding_context: ''
+    probability: 0.01
+    replacement: ɱ
+    segment: n
+    silence_after_probability: 37.5
+    silence_before_correction: -0.26
+  - following_context: '[tʈdɖ]$'
+    non_silence_before_correction: 0.12
+    preceding_context: m
+    probability: 0.01
+    replacement: ''
+    segment: '[pb]'
+    silence_after_probability: 6.25
+    silence_before_correction: -0.2
+  - following_context: '[sz]$'
+    non_silence_before_correction: 0.11
+    preceding_context: n
+    probability: 0.01
+    replacement: ''
+    segment: '[tʈdɖ]'
+    silence_after_probability: 1.35
+    silence_before_correction: -0.18
+  - following_context: '[dɖʈtcɟɡk][ʲʷ]?'
+    non_silence_before_correction: 0.11
+    preceding_context: ''
+    probability: 0.01
+    replacement: ''
+    segment: p
+    silence_after_probability: 9.14
+    silence_before_correction: -0.2
+  - following_context: '[pbcɟɡk][ʲʷ]?'
+    non_silence_before_correction: 0.03
+    preceding_context: ''
+    probability: 0.01
+    replacement: ''
+    segment: '[tʈ]'
+    silence_after_probability: 25.0
+    silence_before_correction: -0.08
+  - following_context: '[dɖtʈcɟɡk][ʲʷ]?'
+    non_silence_before_correction: 0.14
+    preceding_context: ''
+    probability: 0.01
+    replacement: ''
+    segment: b
+    silence_after_probability: 16.67
+    silence_before_correction: -0.24
+  - following_context: '[dɖtʈpb][ʲʷ]?'
+    non_silence_before_correction: 0.12
+    preceding_context: ''
+    probability: 0.01
+    replacement: ''
+    segment: k
+    silence_after_probability: 4.29
+    silence_before_correction: -0.2
+  - following_context: ([tʈpkc][ʲʷ]?)? ɹ
+    non_silence_before_correction: 0.16
+    preceding_context: ''
+    probability: 0.01
+    replacement: ʃ
+    segment: s
+    silence_after_probability: 31.0
+    silence_before_correction: -0.25
+  - following_context: ɹ
+    non_silence_before_correction: 0.11
+    preceding_context: ''
+    probability: 0.01
+    replacement: tʃ
+    segment: '[tʈ][ʲʷ]?'
+    silence_after_probability: 44.0
+    silence_before_correction: -0.19
+  - following_context: ''
+    non_silence_before_correction: 0.15
+    preceding_context: ''
+    probability: 0.01
+    replacement: tʃ
+    segment: '[tʈ][ʲʷ]? ɹ'
+    silence_after_probability: 42.0
+    silence_before_correction: -0.23
+  - following_context: ə n
+    non_silence_before_correction: 0.11
+    preceding_context: ''
+    probability: 0.01
+    replacement: ʔ
+    segment: '[tʈ]'
+    silence_after_probability: 3.58
+    silence_before_correction: -0.17
+  - following_context: $
+    non_silence_before_correction: 0.07
+    preceding_context: ɪ
+    probability: 0.01
+    replacement: n
+    segment: ŋ
+    silence_after_probability: 3.44
+    silence_before_correction: -0.14
+  - following_context: z$
+    non_silence_before_correction: 0.1
+    preceding_context: ɪ
+    probability: 0.01
+    replacement: n
+    segment: ŋ
+    silence_after_probability: 4.61
+    silence_before_correction: -0.16
+  - following_context: ''
+    non_silence_before_correction: -0.06
+    preceding_context: ''
+    probability: 0.01
+    replacement: l ə
+    segment: ə l ə
+    silence_after_probability: 8.33
+    silence_before_correction: 0.04
+  - following_context: ''
+    non_silence_before_correction: 0.1
+    preceding_context: ''
+    probability: 0.01
+    replacement: n ə
+    segment: ə n ə
+    silence_after_probability: 26.33
+    silence_before_correction: -0.19
+  - following_context: ''
+    non_silence_before_correction: 0.29
+    preceding_context: ''
+    probability: 0.01
+    replacement: m ə
+    segment: ə m ə
+    silence_after_probability: 49.5
+    silence_before_correction: -0.38
+  - following_context: ''
+    non_silence_before_correction: 0.15
+    preceding_context: ''
+    probability: 0.01
+    replacement: ɹ ə
+    segment: ə ɹ ə
+    silence_after_probability: 11.75
+    silence_before_correction: -0.24
+  - following_context: ''
+    non_silence_before_correction: 0.09
+    preceding_context: ''
+    probability: 0.01
+    replacement: ɾ
+    segment: ɹ
+    silence_after_probability: 7.8
+    silence_before_correction: -0.17
+  - following_context: ''
+    non_silence_before_correction: 0.06
+    preceding_context: ''
+    probability: 0.01
+    replacement: a
+    segment: ɒ
+    silence_after_probability: 7.0
+    silence_before_correction: -0.12
+  - following_context: ''
+    non_silence_before_correction: -0.1
+    preceding_context: ''
+    probability: 0.01
+    replacement: a
+    segment: ɑ
+    silence_after_probability: 10.0
+    silence_before_correction: -0.01
+  - following_context: ''
+    non_silence_before_correction: 0.09
+    preceding_context: ''
+    probability: 0.01
+    replacement: aː
+    segment: ɒː
+    silence_after_probability: 4.5
+    silence_before_correction: -0.16
+  - following_context: ''
+    non_silence_before_correction: 0.09
+    preceding_context: ''
+    probability: 0.01
+    replacement: aː
+    segment: ɑː
+    silence_after_probability: 4.43
+    silence_before_correction: -0.16
+  - following_context: ''
+    non_silence_before_correction: 0.09
+    preceding_context: ''
+    probability: 0.01
+    replacement: dʒ
+    segment: z
+    silence_after_probability: 3.7
+    silence_before_correction: -0.16
+  - following_context: ''
+    non_silence_before_correction: 0.17
+    preceding_context: ''
+    probability: 0.01
+    replacement: dʒ
+    segment: ʒ
+    silence_after_probability: 6.09
+    silence_before_correction: -0.27
+  - following_context: ''
+    non_silence_before_correction: 0.22
+    preceding_context: ''
+    probability: 0.01
+    replacement: z
+    segment: ʒ
+    silence_after_probability: 3.64
+    silence_before_correction: -0.31
+  - following_context: ''
+    non_silence_before_correction: 0.1
+    preceding_context: ''
+    probability: 0.01
+    replacement: ʃ
+    segment: ʒ
+    silence_after_probability: 4.82
+    silence_before_correction: -0.18
+  - following_context: .*(ʊ|ɔj|ɝ|ɛ|ej|ɜ|a|u|o|ow|æ|aw|əw|aj|ɐ|ɪ|ə|ɔ|e|ɚ|ɑ|ʉ|ɒ|i)ː?
+    non_silence_before_correction: 0.15
+    preceding_context: ^
+    probability: 0.01
+    replacement: ''
+    segment: ə
+    silence_after_probability: 5.5
+    silence_before_correction: -0.24
+  - following_context: $
+    non_silence_before_correction: 0.09
+    preceding_context: '[sʃn]'
+    probability: 0.01
+    replacement: ''
+    segment: '[tʈ]'
+    silence_after_probability: 1.45
+    silence_before_correction: -0.16
+  - following_context: $
+    non_silence_before_correction: 0.09
+    preceding_context: '[zʒn]'
+    probability: 0.01
+    replacement: ''
+    segment: '[dɖ]'
+    silence_after_probability: 1.93
+    silence_before_correction: -0.16
+  - following_context: ''
+    non_silence_before_correction: 0.12
+    preceding_context: n
+    probability: 0.01
+    replacement: ''
+    segment: '[dɖ]'
+    silence_after_probability: 3.0
+    silence_before_correction: -0.21
+  - following_context: ə|ɚ
+    non_silence_before_correction: 0.07
+    preceding_context: ''
+    probability: 0.01
+    replacement: j
+    segment: i
+    silence_after_probability: 11.2
+    silence_before_correction: -0.15
+  - following_context: ''
+    non_silence_before_correction: 0.11
+    preceding_context: ''
+    probability: 0.01
+    replacement: dʒ
+    segment: '[dɖ][ʲʷ]? ɹ'
+    silence_after_probability: 16.67
+    silence_before_correction: -0.18
+  - following_context: ɹ
+    non_silence_before_correction: 0.13
+    preceding_context: ''
+    probability: 0.01
+    replacement: dʒ
+    segment: '[dɖ][ʲʷ]?'
+    silence_after_probability: 12.0
+    silence_before_correction: -0.21
+  nigeria:
+  - following_context: $
+    non_silence_before_correction: 0.11
+    preceding_context: (ʊ|ɔj|ɝ|ɛ|ej|ɜ|a|u|o|ow|æ|aw|əw|aj|ɐ|ɪ|ə|ɔ|e|ɚ|ɑ|ʉ|ɒ|i)ː?
+    probability: 0.01
+    replacement: ''
+    segment: '[tʈ]'
+    silence_after_probability: 0.14
+    silence_before_correction: -0.28
+  - following_context: ''
+    non_silence_before_correction: 0.13
+    preceding_context: ''
+    probability: 0.01
+    replacement: d̪
+    segment: ð
+    silence_after_probability: 1.0
+    silence_before_correction: -0.42
+  - following_context: ''
+    non_silence_before_correction: 0.1
+    preceding_context: ''
+    probability: 0.01
+    replacement: t̪
+    segment: θ
+    silence_after_probability: 1.67
+    silence_before_correction: -0.22
+  - following_context: '[tʈpkcsʃf][ʲʷ]?'
+    non_silence_before_correction: 0.14
+    preceding_context: ''
+    probability: 0.01
+    replacement: p
+    segment: b
+    silence_after_probability: 27.0
+    silence_before_correction: -0.22
+  - following_context: '[vʋf]ʲ?'
+    non_silence_before_correction: 0.08
+    preceding_context: ''
+    probability: 0.01
+    replacement: ɱ
+    segment: m
+    silence_after_probability: 7.75
+    silence_before_correction: -0.13
+  - following_context: '[vʋf]ʲ?'
+    non_silence_before_correction: 0.12
+    preceding_context: ''
+    probability: 0.01
+    replacement: ɱ
+    segment: n
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+    silence_before_correction: -0.2
+  - following_context: '[tʈdɖ]$'
+    non_silence_before_correction: 0.17
+    preceding_context: m
+    probability: 0.01
+    replacement: ''
+    segment: '[pb]'
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+    silence_before_correction: -0.4
+  - following_context: '[sz]$'
+    non_silence_before_correction: 0.09
+    preceding_context: n
+    probability: 0.01
+    replacement: ''
+    segment: '[tʈdɖ]'
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+    silence_before_correction: -0.15
+  - following_context: '[s]$'
+    non_silence_before_correction: 0.06
+    preceding_context: ''
+    probability: 0.01
+    replacement: ''
+    segment: '[sʃ] t'
+    silence_after_probability: 2.0
+    silence_before_correction: -0.12
+  - following_context: '[dɖʈtcɟɡk][ʲʷ]?'
+    non_silence_before_correction: 0.07
+    preceding_context: ''
+    probability: 0.01
+    replacement: ''
+    segment: p
+    silence_after_probability: 2.71
+    silence_before_correction: -0.13
+  - following_context: '[pbcɟɡk][ʲʷ]?'
+    non_silence_before_correction: 0.12
+    preceding_context: ''
+    probability: 0.01
+    replacement: ''
+    segment: '[tʈ]'
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+    silence_before_correction: -0.46
+  - following_context: '[dɖtʈcɟɡk][ʲʷ]?'
+    non_silence_before_correction: 0.18
+    preceding_context: ''
+    probability: 0.01
+    replacement: ''
+    segment: b
+    silence_after_probability: 7.0
+    silence_before_correction: -0.41
+  - following_context: '[dɖtʈpb][ʲʷ]?'
+    non_silence_before_correction: 0.09
+    preceding_context: ''
+    probability: 0.01
+    replacement: ''
+    segment: k
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+    silence_before_correction: -0.15
+  - following_context: ([tʈpkc][ʲʷ]?)? ɹ
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+    preceding_context: ''
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+    segment: s
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+    non_silence_before_correction: 0.1
+    preceding_context: ''
+    probability: 0.01
+    replacement: ''
+    segment: p
+    silence_after_probability: 2.57
+    silence_before_correction: -0.18
+  - following_context: '[pbcɟɡk][ʲʷ]?'
+    non_silence_before_correction: 0.12
+    preceding_context: ''
+    probability: 0.02
+    replacement: ''
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+    silence_after_probability: 9.0
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+  - following_context: '[pbcɟɡk][ʲʷ]?'
+    non_silence_before_correction: 0.02
+    preceding_context: ''
+    probability: 0.01
+    replacement: ''
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+    silence_after_probability: 25.0
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+  - following_context: '[dɖtʈcɟɡk][ʲʷ]?'
+    non_silence_before_correction: 0.07
+    preceding_context: ''
+    probability: 0.01
+    replacement: ''
+    segment: b
+    silence_after_probability: 8.67
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+  - following_context: '[dɖtʈpb][ʲʷ]?'
+    non_silence_before_correction: 0.12
+    preceding_context: ''
+    probability: 0.01
+    replacement: ''
+    segment: k
+    silence_after_probability: 2.86
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+  - following_context: '[dɖtʈpb][ʲʷ]?'
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+    preceding_context: ''
+    probability: 0.01
+    replacement: ''
+    segment: ɡ
+    silence_after_probability: 4.2
+    silence_before_correction: -0.23
+  - following_context: ([tʈpkc][ʲʷ]?)? ɹ
+    non_silence_before_correction: 0.14
+    preceding_context: ''
+    probability: 0.01
+    replacement: ʃ
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+  - following_context: ɹ
+    non_silence_before_correction: 0.13
+    preceding_context: ''
+    probability: 0.04
+    replacement: tʃ
+    segment: '[tʈ][ʲʷ]?'
+    silence_after_probability: 33.0
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+  - following_context: ''
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+    preceding_context: ''
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+    segment: '[tʈ][ʲʷ]? ɹ'
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+  - following_context: ''
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+    preceding_context: ''
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+    replacement: dʒ
+    segment: '[dɖ][ʲʷ]? ɹ'
+    silence_after_probability: 7.33
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+  - following_context: $
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+    silence_before_correction: -0.2
+  - following_context: z$
+    non_silence_before_correction: 0.12
+    preceding_context: ɪ
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+    replacement: n
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+    silence_before_correction: -0.22
+  - following_context: ''
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+    preceding_context: ''
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+    replacement: l ə
+    segment: ə l ə
+    silence_after_probability: 4.67
+    silence_before_correction: 0.02
+  - following_context: ''
+    non_silence_before_correction: 0.12
+    preceding_context: ''
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+    replacement: n ə
+    segment: ə n ə
+    silence_after_probability: 5.33
+    silence_before_correction: -0.22
+  - following_context: ''
+    non_silence_before_correction: 0.1
+    preceding_context: ''
+    probability: 0.02
+    replacement: m ə
+    segment: ə m ə
+    silence_after_probability: 23.5
+    silence_before_correction: -0.19
+  - following_context: ''
+    non_silence_before_correction: 0.1
+    preceding_context: ''
+    probability: 0.04
+    replacement: ɹ ə
+    segment: ə ɹ ə
+    silence_after_probability: 2.75
+    silence_before_correction: -0.17
+  - following_context: (ɪ|ə|ɚ|i)
+    non_silence_before_correction: 0.11
+    preceding_context: (ʊ|ɔj|ɝ|ɛ|ej|ɜ|a|u|o|ow|æ|aw|əw|aj|ɐ|ɪ|ə|ɔ|e|ɚ|ɑ|ʉ|ɒ|i)ː?
+    probability: 0.07
+    replacement: ɾ
+    segment: '[td]'
+    silence_after_probability: 3.0
+    silence_before_correction: -0.22
+  - following_context: (ɪ|ə|ɚ|i)
+    non_silence_before_correction: 0.11
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+    probability: 0.15
+    replacement: ɾ
+    segment: '[td]'
+    silence_after_probability: 4.29
+    silence_before_correction: -0.18
+  - following_context: (ɪ|ə|ɚ|i)
+    non_silence_before_correction: 0.04
+    preceding_context: ɫ
+    probability: 0.01
+    replacement: ɾ
+    segment: '[td]'
+    silence_after_probability: 2.08
+    silence_before_correction: -0.1
+  - following_context: (ɪ|ə|ɚ|i)
+    non_silence_before_correction: 0.11
+    preceding_context: (ʊ|ɔj|ɝ|ɛ|ej|ɜ|a|u|o|ow|æ|aw|əw|aj|ɐ|ɪ|ə|ɔ|e|ɚ|ɑ|ʉ|ɒ|i)ː?
+    probability: 0.05
+    replacement: ɾʲ
+    segment: '[td]ʲ'
+    silence_after_probability: 2.71
+    silence_before_correction: -0.2
+  - following_context: (ɪ|ə|ɚ|i)
+    non_silence_before_correction: 0.1
+    preceding_context: ɹ
+    probability: 0.18
+    replacement: ɾʲ
+    segment: '[td]ʲ'
+    silence_after_probability: 4.5
+    silence_before_correction: -0.17
+  - following_context: (ɪ|ə|ɚ|i)
+    non_silence_before_correction: 0.09
+    preceding_context: (ɫ|ɫ̩)
+    probability: 0.01
+    replacement: ɾʲ
+    segment: '[td]ʲ'
+    silence_after_probability: 3.5
+    silence_before_correction: -0.18
+  - following_context: (ɪ|ə|ɚ|i)
+    non_silence_before_correction: 0.09
+    preceding_context: (ʊ|ɔj|ɝ|ɛ|ej|ɜ|a|u|o|ow|æ|aw|əw|aj|ɐ|ɪ|ə|ɔ|e|ɚ|ɑ|ʉ|ɒ|i)ː?
+    probability: 0.01
+    replacement: ɾ̃
+    segment: (ɲ|n)
+    silence_after_probability: 3.6
+    silence_before_correction: -0.18
+  - following_context: (ɪ|ə|ɚ|i)
+    non_silence_before_correction: 0.12
+    preceding_context: (ʊ|ɔj|ɝ|ɛ|ej|ɜ|a|u|o|ow|æ|aw|əw|aj|ɐ|ɪ|ə|ɔ|e|ɚ|ɑ|ʉ|ɒ|i)ː?
+    probability: 0.01
+    replacement: ɾ̃
+    segment: (ɲ|n) [td][ʲʷ]?
+    silence_after_probability: 2.57
+    silence_before_correction: -0.22
+  - following_context: $
+    non_silence_before_correction: 0.11
+    preceding_context: ''
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+    segment: ɒː
+    silence_after_probability: 1.75
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+  - following_context: '[^ɹ]'
+    non_silence_before_correction: 0.12
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+    silence_after_probability: 2.78
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+  - following_context: $
+    non_silence_before_correction: 0.16
+    preceding_context: ''
+    probability: 0.01
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+    segment: ɒ
+    silence_after_probability: 17.0
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+  - following_context: '[^ɹ]'
+    non_silence_before_correction: 0.12
+    preceding_context: ''
+    probability: 0.02
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+    silence_after_probability: 2.86
+    silence_before_correction: -0.23
+  - following_context: $
+    non_silence_before_correction: 0.1
+    preceding_context: (ʊ|ɔj|ɝ|ɛ|ej|ɜ|a|u|o|ow|æ|aw|əw|aj|ɐ|ɪ|ə|ɔ|e|ɚ|ɑ|ʉ|ɒ|i)ː?
+    probability: 0.02
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+  - following_context: ''
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+  - following_context: '[^ʊɔɝaɔɛɜeuoæɐɪəɚɑʉɒi].*'
+    non_silence_before_correction: 0.12
+    preceding_context: ''
+    probability: 0.01
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+    non_silence_before_correction: 0.12
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+  - following_context: $
+    non_silence_before_correction: 0.13
+    preceding_context: ''
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+    replacement: m̩
+    segment: ə m
+    silence_after_probability: 0.57
+    silence_before_correction: -0.27
+  - following_context: '[^ʊɔɝaɔɛɜeuoæɐɪəɚɑʉɒi].*'
+    non_silence_before_correction: 0.09
+    preceding_context: ''
+    probability: 0.01
+    replacement: m̩
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+    silence_after_probability: 6.0
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+  - following_context: $
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+    replacement: ɫ̩
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+  - following_context: .*(ʊ|ɔj|ɝ|ɛ|ej|ɜ|a|u|o|ow|æ|aw|əw|aj|ɐ|ɪ|ə|ɔ|e|ɚ|ɑ|ʉ|ɒ|i)ː?
+    non_silence_before_correction: 0.12
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+    silence_after_probability: 7.75
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+    silence_after_probability: 7.67
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+  - following_context: ə n
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+    replacement: ʔ
+    segment: '[tʈ]'
+    silence_after_probability: 1.75
+    silence_before_correction: -0.22
+rules: []

g2p/english_india_mfa/graphemes.txt

@@ -0,0 +1,285 @@
+<eps>	0
+|	1
+_	2
+'|d	3
+'|e	4
+m	5
+'	6
+l|l	7
+'|m	8
+r|e	9
+'|s	10
+u|n	11
+v|e	12
+'|v	13
+e	14
+a	15
+d	16
+r	17
+g	18
+v	19
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+s	21
+o|m	22
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+h	24
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+p	26
+c	27
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+j	30
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+a|c	32
+u	33
+k	34
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+o|r	36
+l|i	37
+i	38
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+w|o	44
+f	45
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+o	50
+i|c	51
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+c|k	59
+w	60
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+t	64
+i|s	65
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+z	104
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+z|u	231
+z|y	232
+k|l	233
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+'|n	236
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+z|h	241
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+q	246
+k|r	247
+p|s	248
+ô	249
+x|s	250
+w|m	251
+'|a	252
+b|t	253
+x|c	254
+p|t	255
+v|s	256
+b|s	257
+c|s	258
+'|r	259
+x|e	260
+x|h	261
+x|u	262
+d|s	263
+'|c	264
+q|a	265
+k|b	266
+'|l	267
+m|c	268
+h|t	269
+z|s	270
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+q|w	272
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+'|i	274
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+h|w	276
+'|o	277
+x|t	278
+d|m	279
+f|s	280
+x|a	281
+x|y	282
+ü|r	283
+ü	284

g2p/english_india_mfa/meta.json

@@ -1 +1 @@
-{"version": "2.2.6.dev1+g6874b58.d20230320", "architecture": "phonetisaurus", "train_date": "2023-05-07 11:50:08.461087", "phones": ["a", "aj", "aw", "b", "b\u02b2", "c", "c\u02b7", "d\u0292", "d\u032a", "e\u02d0", "f", "f\u02b2", "h", "i", "i\u02d0", "j", "k", "k\u02b7", "l", "m", "m\u02b2", "n", "o\u02d0", "p", "p\u02b2", "p\u02b7", "s", "t\u0283", "t\u032a", "z", "\u00e7", "\u014b", "\u0251", "\u0251\u02d0", "\u0252", "\u0252\u02d0", "\u0254j", "\u0256", "\u0259", "\u025b", "\u025b\u02d0", "\u025c", "\u025c\u02d0", "\u025f", "\u025f\u02b7", "\u0261", "\u0261\u02b7", "\u026a", "\u0272", "\u0279", "\u027e", "\u0283", "\u0288", "\u0288\u02b2", "\u0288\u02b7", "\u0289", "\u0289\u02d0", "\u028a", "\u028b", "\u028e", "\u0292"], "graphemes": ["\u00fc", "e", "v", "g", "n", "x", "f", "l", "\u00f4", "m", "w", "t", "z", "u", "p", "i", "'", "o", "b", "h", "y", "r", "c", "k", "s", "q", "d", "j", "a"], "grapheme_order": 2, "phone_order": 2, "sequence_separator": "|", "evaluation": {"num_words": 7493, "word_error_rate": null, "phone_error_rate": null}, "training": {"num_words": 67432, "num_graphemes": 29, "num_phones": 61}}
+{"version": "3.3.0", "architecture": "phonetisaurus", "train_date": "2026-05-12 11:53:05.347871", "phones": ["a", "aj", "aw", "a\u02d0", "b", "b\u02b2", "c", "c\u02b7", "d\u0292", "d\u032a", "e\u02d0", "f", "f\u02b2", "h", "i", "i\u02d0", "j", "k", "k\u02b7", "l", "m", "m\u02b2", "n", "o\u02d0", "p", "p\u02b2", "p\u02b7", "s", "t", "t\u0283", "t\u032a", "w", "z", "\u00e7", "\u014b", "\u0251", "\u0251\u02d0", "\u0252", "\u0252\u02d0", "\u0254j", "\u0256", "\u0259", "\u025b", "\u025b\u02d0", "\u025c", "\u025c\u02d0", "\u025f", "\u025f\u02b7", "\u0261", "\u0261\u02b7", "\u026a", "\u0271", "\u0272", "\u0279", "\u027e", "\u0283", "\u0288", "\u0288\u02b2", "\u0288\u02b7", "\u0289", "\u0289\u02d0", "\u028a", "\u028b", "\u028e", "\u0292", "\u0294"], "graphemes": ["k", "j", "q", "u", "a", "z", "g", "\u00fc", "t", "x", "d", "b", "w", "r", "y", "v", "n", "e", "c", "p", "m", "i", "f", "'", "h", "\u00f4", "o", "s", "l"], "grapheme_order": 2, "phone_order": 2, "sequence_separator": "|", "unicode_decomposition": false, "evaluation": {"num_words": 7488, "word_error_rate": null, "phone_error_rate": null}, "training": {"num_words": 67406, "num_graphemes": 29, "num_phones": 66}}

g2p/english_india_mfa/phones.txt

@@ -0,0 +1,62 @@
+<eps>	0
+ɖ	1
+ʈ	2
+ə	3
+ɪ	4
+m	5
+ɛ	6
+l	7
+z	8
+s	9
+n	10
+ʋ	11
+eː	12
+iː	13
+ɑː	14
+dʒ	15
+ɒː	16
+bʲ	17
+tʃ	18
+k	19
+a	20
+p	21
+ʊ	22
+c	23
+j	24
+b	25
+ɡ	26
+ʎ	27
+ɒ	28
+f	29
+ɹ	30
+h	31
+ʉː	32
+ɛː	33
+ɲ	34
+ɑ	35
+oː	36
+t̪	37
+i	38
+aj	39
+ɾ	40
+ŋ	41
+ʃ	42
+ʒ	43
+ʈʲ	44
+ʈʷ	45
+mʲ	46
+ɟ	47
+ʉ	48
+ɜː	49
+aw	50
+ɜ	51
+ɔj	52
+fʲ	53
+cʷ	54
+d̪	55
+ç	56
+ɡʷ	57
+pʲ	58
+ɟʷ	59
+pʷ	60
+kʷ	61

g2p/english_nigeria_mfa/graphemes.txt

@@ -0,0 +1,384 @@
+<eps>	0
+|	1
+_	2
+'|d	3
+'	4
+e|m	5
+l|l	6
+'|m	7
+r|e	8
+'|s	9
+u|n	10
+'|v	11
+e	12
+v|e	13
+-|d	14
+a	15
+d	16
+a|r	17
+g	18
+v	19
+a|w	20
+s|o	21
+m|e	22
+b	23
+h	24
+c|a	25
+p	26
+c	27
+c|h	28
+e|n	29
+s	30
+j	31
+l	32
+m	33
+c|u	34
+u	35
+k	36
+a|l	37
+o|r	38
+l|i	39
+i	40
+s|t	41
+a|m	42
+n|d	43
+l|o	44
+v|a	45
+r|k	46
+w|o	47
+f	48
+h|u	49
+o|n	50
+o	51
+n|i	52
+r|o	53
+v|o	54
+e|l	55
+t|h	56
+e|i	57
+a|b	58
+b|a	59
+c|i	60
+n|a	61
+t|e	62
+c|k	63
+w|a	64
+r|d	65
+c|o	66
+a|c	67
+u|s	68
+f|t	69
+a|h	70
+t	71
+a|i	72
+a|n	73
+c|e	74
+n|e	75
+p|e	76
+e|d	77
+l|y	78
+e|r	79
+n|g	80
+n|t	81
+s|e	82
+s|h	83
+s|s	84
+l|e	85
+s|i	86
+t|i	87
+a|t	88
+t|o	89
+i|r	90
+z|a	91
+b|b	92
+e|s	93
+e|y	94
+o|t	95
+t|s	96
+i|p	97
+v|i	98
+y	99
+d|e	100
+r|i	101
+d|i	102
+d|o	103
+n	104
+m|i	105
+o|u	106
+d|u	107
+c|t	108
+e|e	109
+l|a	110
+h|i	111
+r	112
+a|u	113
+b|e	114
+d|a	115
+r|y	116
+e|g	117
+g|e	118
+m|o	119
+s|k	120
+e|o	121
+k|u	122
+t|a	123
+r|r	124
+r|a	125
+e|t	126
+k|a	127
+h|o	128
+i|n	129
+c|y	130
+b|i	131
+i|d	132
+g|a	133
+i|l	134
+t|y	135
+m|b	136
+u|r	137
+j|e	138
+j|u	139
+n|c	140
+z|e	141
+g|u	142
+o|d	143
+l|u	144
+b|l	145
+b|o	146
+o|o	147
+g|i	148
+u|m	149
+h|a	150
+b|r	151
+e|u	152
+d|g	153
+a|d	154
+s|c	155
+a|e	156
+o|l	157
+t|u	158
+p|t	159
+q|u	160
+r|u	161
+s|u	162
+b|u	163
+j|a	164
+u|l	165
+f|e	166
+a|g	167
+t|t	168
+z|z	169
+l|t	170
+b|y	171
+m|y	172
+o|e	173
+p|h	174
+r|p	175
+s|a	176
+p|i	177
+c|l	178
+m|s	179
+c|c	180
+m|a	181
+o|i	182
+m|m	183
+m|p	184
+n|y	185
+u|p	186
+c|r	187
+o|a	188
+m|u	189
+x	190
+o|m	191
+l|d	192
+r|b	193
+i|c	194
+r|v	195
+z|o	196
+f|i	197
+z|i	198
+i|e	199
+o|w	200
+r|n	201
+o|c	202
+g|y	203
+p|o	204
+n|o	205
+p|u	206
+n|s	207
+d|d	208
+u|c	209
+y|o	210
+j|i	211
+p|a	212
+s|p	213
+u|g	214
+d|h	215
+h|e	216
+r|t	217
+g|h	218
+k|i	219
+j|o	220
+o|p	221
+o|g	222
+d|r	223
+d|v	224
+d|y	225
+p|y	226
+g|o	227
+f|a	228
+f|f	229
+r|s	230
+e|c	231
+k|p	232
+f|l	233
+f|o	234
+f|r	235
+'|t	236
+n|n	237
+g|g	238
+p|r	239
+g|l	240
+e|a	241
+g|r	242
+w|u	243
+u|e	244
+a|p	245
+l|s	246
+w	247
+r|l	248
+r|m	249
+y|s	250
+i|s	251
+y|e	252
+y|i	253
+k|e	254
+a|k	255
+k|h	256
+y|a	257
+k|k	258
+k|n	259
+k|o	260
+k|s	261
+k|w	262
+a|f	263
+p|p	264
+u|t	265
+w|i	266
+f|u	267
+g|n	268
+y|u	269
+a|y	270
+y|w	271
+n|u	272
+z	273
+t|r	274
+é|t	275
+é|p	276
+é	277
+i|a	278
+y|l	279
+n|k	280
+v|y	281
+o|v	282
+e|w	283
+n|f	284
+u|i	285
+h|y	286
+s|w	287
+s|y	288
+n|v	289
+x|i	290
+w|h	291
+p|l	292
+i|m	293
+i|v	294
+o|s	295
+r|c	296
+w|e	297
+a|s	298
+i|g	299
+w|r	300
+e|p	301
+u|a	302
+y|n	303
+i|o	304
+h|n	305
+m|n	306
+a|v	307
+a|z	308
+z|u	309
+z|y	310
+'|l	311
+k|y	312
+e|f	313
+b|d	314
+f|y	315
+i|z	316
+u|d	317
+h|l	318
+v|v	319
+w|y	320
+k|l	321
+o|k	322
+y|d	323
+v|u	324
+i|t	325
+y|r	326
+l|v	327
+z|h	328
+q|l	329
+u|b	330
+e|v	331
+w|s	332
+q|i	333
+e|x	334
+q	335
+w|n	336
+p|s	337
+ô	338
+x|s	339
+c|s	340
+w|m	341
+w|t	342
+o|b	343
+r|g	344
+b|s	345
+b|j	346
+x|e	347
+x|h	348
+é|e	349
+h|m	350
+'|c	351
+o|f	352
+y|c	353
+h|w	354
+d|w	355
+b|t	356
+'|n	357
+'|a	358
+q|a	359
+d|s	360
+h|r	361
+k|r	362
+-|k	363
+-|f	364
+i|b	365
+x|u	366
+í|a	367
+x|y	368
+'|r	369
+p|n	370
+x|o	371
+t|l	372
+'|i	373
+h|b	374
+é|g	375
+w|f	376
+f|s	377
+d|n	378
+x|a	379
+y|p	380
+ü	381
+-	382
+í	383

g2p/english_nigeria_mfa/meta.json

@@ -1 +1 @@
-{"version": "2.2.6.dev1+g6874b58.d20230320", "architecture": "phonetisaurus", "train_date": "2023-05-07 11:33:01.252545", "phones": ["a", "aj", "aw", "a\u02d0", "b", "b\u02b2", "c", "c\u02b0", "c\u02b7", "d", "d\u0292", "d\u02b2", "e", "f", "f\u02b2", "h", "i", "i\u02d0", "j", "k", "kp", "k\u02b0", "k\u02b7", "l", "m", "m\u02b2", "n", "o", "p", "p\u02b0", "p\u02b2", "p\u02b7", "s", "t", "t\u0283", "t\u02b0", "t\u02b2", "t\u02b7", "u", "u\u02d0", "v", "v\u02b2", "w", "z", "\u00e7", "\u00f0", "\u014b", "\u0254", "\u0254j", "\u025b", "\u025b\u02d0", "\u025c", "\u025c\u02d0", "\u025f", "\u025f\u02b7", "\u0261", "\u0261b", "\u0261\u02b7", "\u026b", "\u0272", "\u0279", "\u0283", "\u028a", "\u028e", "\u03b8"], "graphemes": ["\u00fc", "e", "v", "g", "n", "x", "f", "l", "-", "m", "w", "t", "z", "u", "p", "i", "\u00e9", "'", "o", "b", "h", "y", "r", "c", "k", "s", "q", "d", "j", "a"], "grapheme_order": 2, "phone_order": 2, "sequence_separator": "|", "evaluation": {"num_words": 5633, "word_error_rate": null, "phone_error_rate": null}, "training": {"num_words": 50705, "num_graphemes": 30, "num_phones": 65}}
+{"version": "3.3.0", "architecture": "phonetisaurus", "train_date": "2026-05-12 11:53:06.988505", "phones": ["a", "aj", "aw", "a\u02d0", "b", "b\u02b2", "c", "c\u02b0", "c\u02b7", "d", "d\u0292", "d\u02b2", "d\u032a", "e", "f", "f\u02b2", "h", "i", "i\u02d0", "j", "k", "kp", "k\u02b0", "k\u02b7", "l", "m", "m\u02b2", "n", "o", "p", "p\u02b0", "p\u02b2", "p\u02b7", "s", "t", "t\u0283", "t\u02b0", "t\u02b2", "t\u02b7", "t\u032a", "u", "u\u02d0", "v", "v\u02b2", "w", "z", "\u00e7", "\u00f0", "\u014b", "\u0254", "\u0254j", "\u0259", "\u025b", "\u025b\u02d0", "\u025c", "\u025c\u02d0", "\u025f", "\u025f\u02b7", "\u0261", "\u0261b", "\u0261\u02b7", "\u026b", "\u0271", "\u0272", "\u0279", "\u0283", "\u028a", "\u028e", "\u0294", "\u03b8"], "graphemes": ["-", "\u00e9", "k", "j", "q", "u", "a", "z", "g", "\u00fc", "t", "x", "d", "r", "w", "b", "y", "v", "n", "e", "c", "p", "m", "i", "f", "'", "h", "\u00f4", "\u00ed", "o", "s", "l"], "grapheme_order": 2, "phone_order": 2, "sequence_separator": "|", "unicode_decomposition": false, "evaluation": {"num_words": 5630, "word_error_rate": null, "phone_error_rate": null}, "training": {"num_words": 50676, "num_graphemes": 32, "num_phones": 70}}

g2p/english_nigeria_mfa/phones.txt

@@ -0,0 +1,66 @@
+<eps>	0
+d	1
+t	2
+ɛ	3
+m	4
+ɫ	5
+i	6
+a	7
+z	8
+s	9
+ɔ	10
+n	11
+v	12
+spn	13
+e	14
+dʲ	15
+iː	16
+dʒ	17
+vʲ	18
+bʲ	19
+tʃ	20
+kʰ	21
+p	22
+pʰ	23
+k	24
+ʊ	25
+cʰ	26
+j	27
+b	28
+ɡ	29
+ʎ	30
+l	31
+w	32
+f	33
+ɹ	34
+h	35
+uː	36
+ɛː	37
+u	38
+ɲ	39
+o	40
+θ	41
+pʲ	42
+ŋ	43
+ʃ	44
+tʲ	45
+tʰ	46
+tʷ	47
+mʲ	48
+c	49
+ç	50
+aj	51
+ɟ	52
+aː	53
+aw	54
+kʷ	55
+ɜ	56
+ɔj	57
+fʲ	58
+cʷ	59
+ɡb	60
+ð	61
+kp	62
+ɟʷ	63
+ɡʷ	64
+pʷ	65

g2p/english_uk_mfa/graphemes.txt

@@ -0,0 +1,287 @@
+<eps>	0
+|	1
+_	2
+'|d	3
+'|e	4
+m	5
+'	6
+l|l	7
+'|m	8
+r|e	9
+'|s	10
+u|n	11
+v|e	12
+'|v	13
+e	14
+a	15
+d	16
+r	17
+g	18
+v	19
+w|e	20
+s	21
+o|m	22
+b	23
+h	24
+c|a	25
+p	26
+c	27
+c|h	28
+e|n	29
+j	30
+l	31
+c|u	32
+u	33
+k	34
+a|l	35
+o|r	36
+l|i	37
+i	38
+s|t	39
+a|m	40
+a|n	41
+l|o	42
+a|r	43
+w|o	44
+f	45
+h|u	46
+o|n	47
+r|o	48
+n|i	49
+o	50
+i|c	51
+v|o	52
+e|l	53
+t|h	54
+b|a	55
+c|i	56
+n|a	57
+t|e	58
+c|k	59
+w	60
+c|o	61
+u|s	62
+f|t	63
+t	64
+i|s	65
+c|e	66
+j|o	67
+n|e	68
+m|p	69
+n|d	70
+e|d	71
+l|y	72
+e|r	73
+n|g	74
+m|e	75
+n|t	76
+s|e	77
+s|h	78
+s|s	79
+l|e	80
+i|a	81
+s|i	82
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+a|t	84
+t|o	85
+z|a	86
+b|b	87
+e|s	88
+v|i	89
+y	90
+i|e	91
+d|e	92
+d|a	93
+d|i	94
+d|o	95
+m|i	96
+n	97
+o|u	98
+d|u	99
+u|c	100
+u|l	101
+l|a	102
+z|i	103
+z	104
+b|e	105
+e|c	106
+g|e	107
+k|i	108
+b|i	109
+c|y	110
+g|a	111
+r|a	112
+w|y	113
+e|t	114
+h|i	115
+k|a	116
+h|o	117
+i|n	118
+i|l	119
+u|r	120
+j|e	121
+c|t	122
+b|j	123
+j|u	124
+n|c	125
+b|l	126
+a|c	127
+t|a	128
+z|e	129
+g|u	130
+r|i	131
+o|o	132
+m|a	133
+b|o	134
+g|i	135
+u|m	136
+h|a	137
+m|s	138
+i|d	139
+m|o	140
+f|f	141
+b|r	142
+d|g	143
+a|d	144
+z|z	145
+s|c	146
+o|l	147
+q|u	148
+t|r	149
+i|t	150
+d|l	151
+b|u	152
+j|a	153
+f|e	154
+f|u	155
+u|t	156
+w|a	157
+b|y	158
+m|y	159
+r|s	160
+u|a	161
+p|t	162
+p|i	163
+c|c	164
+m|m	165
+d|s	166
+c|r	167
+u|e	168
+m|b	169
+m|u	170
+x	171
+p|h	172
+g|l	173
+v|a	174
+v|u	175
+n|o	176
+z|o	177
+f|i	178
+p|o	179
+k|e	180
+n|s	181
+d|d	182
+h|e	183
+g|h	184
+f|o	185
+o|p	186
+w|n	187
+d|r	188
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+r|t	190
+p|e	191
+d|y	192
+e|a	193
+p|y	194
+f|a	195
+g|o	196
+f|l	197
+f|r	198
+'|t	199
+g|r	200
+p|r	201
+p|p	202
+s|a	203
+h|l	204
+i|o	205
+j|i	206
+k|h	207
+k|k	208
+k|n	209
+k|o	210
+k|u	211
+c|l	212
+h|y	213
+o|t	214
+k|s	215
+w|i	216
+x|i	217
+k|y	218
+y|s	219
+p|a	220
+f|y	221
+p|l	222
+p|u	223
+a|s	224
+v|y	225
+o|s	226
+w|r	227
+w|l	228
+h|r	229
+h|n	230
+w|f	231
+w|h	232
+w|k	233
+k|w	234
+z|u	235
+z|y	236
+k|l	237
+z|s	238
+d|w	239
+'|n	240
+h|m	241
+w|d	242
+z|h	243
+q|l	244
+w|u	245
+q|i	246
+q	247
+k|r	248
+p|s	249
+ô	250
+x|s	251
+c|s	252
+w|m	253
+w|t	254
+'|a	255
+m|n	256
+b|t	257
+x|c	258
+v|l	259
+w|b	260
+b|s	261
+'|r	262
+x|h	263
+x|u	264
+'|c	265
+q|a	266
+'|p	267
+'|l	268
+v|s	269
+m|c	270
+h|t	271
+x|y	272
+x|o	273
+'|i	274
+h|b	275
+h|w	276
+z|w	277
+'|o	278
+d|m	279
+f|s	280
+w|p	281
+x|a	282
+x|e	283
+'|k	284
+ü|r	285
+ü	286

g2p/english_uk_mfa/meta.json

@@ -1 +1 @@
-{"version": "2.2.6.dev1+g6874b58.d20230320", "architecture": "phonetisaurus", "train_date": "2023-05-07 12:25:49.314352", "phones": ["a", "aj", "aw", "b", "b\u02b2", "c", "c\u02b0", "c\u02b7", "d", "d\u0292", "d\u02b2", "e", "ej", "f", "f\u02b2", "f\u02b7", "h", "i", "i\u02d0", "j", "k", "k\u02b0", "k\u02b7", "l", "m", "m\u02b2", "n", "p", "p\u02b0", "p\u02b2", "p\u02b7", "s", "t", "t\u0283", "t\u02b0", "t\u02b2", "t\u02b7", "v", "v\u02b2", "v\u02b7", "w", "z", "\u00e7", "\u00f0", "\u014b", "\u0250", "\u0251", "\u0251\u02d0", "\u0252", "\u0252\u02d0", "\u0254j", "\u0259", "\u0259w", "\u025b", "\u025b\u02d0", "\u025c", "\u025c\u02d0", "\u025f", "\u025f\u02b7", "\u0261", "\u0261\u02b7", "\u026a", "\u026b", "\u0272", "\u0279", "\u0283", "\u0289", "\u0289\u02d0", "\u028a", "\u028e", "\u0292", "\u03b8"], "graphemes": ["\u00fc", "e", "v", "g", "n", "x", "f", "l", "\u00f4", "m", "w", "t", "z", "u", "p", "i", "'", "o", "b", "h", "y", "r", "c", "k", "s", "q", "d", "j", "a"], "grapheme_order": 2, "phone_order": 2, "sequence_separator": "|", "evaluation": {"num_words": 7497, "word_error_rate": null, "phone_error_rate": null}, "training": {"num_words": 67478, "num_graphemes": 29, "num_phones": 72}}
+{"version": "3.3.0", "architecture": "phonetisaurus", "train_date": "2026-05-12 11:53:01.135930", "phones": ["a", "aj", "aw", "b", "b\u02b2", "c", "c\u02b0", "c\u02b7", "d", "d\u0292", "d\u02b2", "d\u032a", "e", "ej", "f", "f\u02b2", "f\u02b7", "h", "i", "i\u02d0", "j", "k", "k\u02b0", "k\u02b7", "l", "m", "m\u02b2", "m\u0329", "n", "n\u0329", "p", "p\u02b0", "p\u02b2", "p\u02b7", "s", "t", "t\u0283", "t\u02b0", "t\u02b2", "t\u02b7", "t\u032a", "v", "v\u02b2", "v\u02b7", "w", "z", "\u00e7", "\u00f0", "\u014b", "\u0250", "\u0251", "\u0251\u02d0", "\u0252", "\u0252\u02d0", "\u0254j", "\u0259", "\u0259w", "\u025b", "\u025b\u02d0", "\u025c", "\u025c\u02d0", "\u025f", "\u025f\u02b7", "\u0261", "\u0261\u02b7", "\u026a", "\u026b", "\u026b\u0329", "\u0271", "\u0272", "\u0279", "\u0283", "\u0289", "\u0289\u02d0", "\u028a", "\u028e", "\u0292", "\u0294", "\u03b8"], "graphemes": ["k", "j", "q", "u", "a", "z", "g", "\u00fc", "t", "x", "d", "r", "w", "b", "y", "v", "n", "e", "c", "p", "m", "i", "f", "'", "h", "\u00f4", "o", "s", "l"], "grapheme_order": 2, "phone_order": 2, "sequence_separator": "|", "unicode_decomposition": false, "evaluation": {"num_words": 7498, "word_error_rate": null, "phone_error_rate": null}, "training": {"num_words": 67465, "num_graphemes": 29, "num_phones": 79}}

g2p/english_uk_mfa/phones.txt

@@ -0,0 +1,73 @@
+<eps>	0
+d	1
+t	2
+ə	3
+m	4
+ɛ	5
+ɪ	6
+ɫ	7
+s	8
+z	9
+ɐ	10
+n	11
+v	12
+ej	13
+dʲ	14
+iː	15
+ɑː	16
+dʒ	17
+vʲ	18
+ɒː	19
+bʲ	20
+tʃ	21
+kʰ	22
+a	23
+p	24
+pʰ	25
+k	26
+ʊ	27
+cʰ	28
+j	29
+b	30
+ɡ	31
+ʎ	32
+l	33
+ɒ	34
+w	35
+f	36
+ɹ	37
+h	38
+ʉː	39
+ɛː	40
+ɲ	41
+ɑ	42
+əw	43
+θ	44
+i	45
+aj	46
+ŋ	47
+ʃ	48
+ʒ	49
+tʲ	50
+tʷ	51
+mʲ	52
+c	53
+tʰ	54
+ɟ	55
+ʉ	56
+ɜː	57
+aw	58
+vʷ	59
+kʷ	60
+ɜ	61
+pʲ	62
+ɔj	63
+fʲ	64
+cʷ	65
+ð	66
+ç	67
+ɡʷ	68
+ɟʷ	69
+pʷ	70
+e	71
+fʷ	72

g2p/english_us_mfa/graphemes.txt

@@ -0,0 +1,349 @@
+<eps>	0
+|	1
+_	2
+'|a	3
+'|d	4
+'	5
+d	6
+e|m	7
+i|n	8
+l|l	9
+'|m	10
+'|n	11
+'|r	12
+e	13
+r|e	14
+'|s	15
+u|n	16
+'|v	17
+v|e	18
+a	19
+r	20
+g	21
+v	22
+w	23
+s|o	24
+m|e	25
+b	26
+h	27
+a|b	28
+o	29
+m	30
+y|c	31
+c|a	32
+p	33
+c	34
+c|h	35
+e|n	36
+s	37
+j	38
+l	39
+c|u	40
+u	41
+k	42
+a|l	43
+o|r	44
+l|i	45
+i	46
+s|t	47
+a|m	48
+a|n	49
+l|o	50
+a|r	51
+w|o	52
+f	53
+h|u	54
+o|n	55
+i|c	56
+t|e	57
+v|o	58
+e|l	59
+t|h	60
+e|i	61
+b|a	62
+d|a	63
+d|e	64
+a|c	65
+v|i	66
+x|i	67
+c|i	68
+s|c	69
+u|s	70
+c|k	71
+c|o	72
+r|i	73
+t|i	74
+n	75
+l|y	76
+t	77
+u|l	78
+a|d	79
+d|d	80
+f|t	81
+a|i	82
+c|e	83
+e|r	84
+s|s	85
+k|a	86
+n|a	87
+n|e	88
+m|p	89
+p|e	90
+e|d	91
+e|e	92
+d|o	93
+n|i	94
+n|g	95
+n|t	96
+a|p	97
+r|o	98
+n|o	99
+s|i	100
+e|s	101
+l|a	102
+s|e	103
+b|i	104
+s|h	105
+e|v	106
+l|e	107
+i|a	108
+a|s	109
+d|i	110
+z|e	111
+a|t	112
+t|o	113
+i|r	114
+u|r	115
+o|i	116
+x	117
+a|y	118
+z|a	119
+b|b	120
+c|y	121
+b|e	122
+e|y	123
+t|s	124
+i|p	125
+o|t	126
+z|z	127
+y	128
+z	129
+i|m	130
+m|b	131
+o|m	132
+m|i	133
+g|i	134
+g|e	135
+h|y	136
+e|c	137
+p|y	138
+r|a	139
+o|u	140
+v|a	141
+d|u	142
+n|s	143
+c|t	144
+u|c	145
+e|a	146
+u|m	147
+g|o	148
+e|g	149
+m|o	150
+s|k	151
+t|r	152
+b|r	153
+k|i	154
+k|u	155
+t|a	156
+c|r	157
+b|y	158
+f|o	159
+g|a	160
+n|n	161
+w|e	162
+w|y	163
+e|t	164
+p|o	165
+f|a	166
+h|e	167
+y|a	168
+h|i	169
+h|o	170
+i|d	171
+j|a	172
+i|l	173
+o|g	174
+j|e	175
+j|u	176
+n|c	177
+k|h	178
+z|i	179
+b|l	180
+p|h	181
+p|s	182
+g|u	183
+o|o	184
+o|w	185
+l|u	186
+g|r	187
+m|a	188
+o|b	189
+c|c	190
+a|u	191
+b|o	192
+i|z	193
+s|p	194
+i|g	195
+g|h	196
+n|d	197
+o|v	198
+i|o	199
+h|a	200
+z|o	201
+d|g	202
+o|a	203
+p|t	204
+k|e	205
+i|s	206
+o|l	207
+q|u	208
+i|t	209
+b|u	210
+f|e	211
+a|g	212
+u|t	213
+l|t	214
+w|a	215
+y|e	216
+j|o	217
+o|k	218
+o|p	219
+i|b	220
+p|i	221
+c|l	222
+d|s	223
+l|d	224
+g|l	225
+y|n	226
+v|u	227
+f|i	228
+y|l	229
+i|e	230
+y|m	231
+p|u	232
+e|p	233
+d|h	234
+l|s	235
+d|r	236
+d|y	237
+y|p	238
+f|f	239
+f|l	240
+f|r	241
+'|t	242
+w|h	243
+f|y	244
+p|l	245
+p|r	246
+p|p	247
+k|o	248
+s|l	249
+y|o	250
+j|i	251
+k|s	252
+a|k	253
+k|k	254
+k|n	255
+w|i	256
+x|e	257
+n|k	258
+p|a	259
+y|s	260
+n|u	261
+s|a	262
+v|y	263
+y|t	264
+i|v	265
+o|s	266
+y|g	267
+w|s	268
+y|i	269
+f|u	270
+q	271
+q|a	272
+o|c	273
+w|r	274
+o|d	275
+r|s	276
+w|l	277
+s|u	278
+y|r	279
+h|w	280
+h|n	281
+a|v	282
+-|g	283
+w|k	284
+w|n	285
+y|u	286
+z|u	287
+z|y	288
+'|l	289
+'|y	290
+h|r	291
+k|y	292
+k|l	293
+h|l	294
+n|f	295
+j|y	296
+i|f	297
+x|s	298
+y|d	299
+v|v	300
+z|h	301
+q|l	302
+r|t	303
+d|l	304
+w|u	305
+q|i	306
+e|f	307
+k|r	308
+ô	309
+d|n	310
+w|m	311
+c|s	312
+'|o	313
+w|d	314
+v|l	315
+b|s	316
+x|x	317
+w|b	318
+e|x	319
+x|c	320
+x|h	321
+x|t	322
+'|c	323
+k|w	324
+w|f	325
+'|e	326
+'|p	327
+x|u	328
+y|w	329
+h|m	330
+-|p	331
+-|j	332
+-|f	333
+v|r	334
+-|m	335
+w|t	336
+x|y	337
+x|a	338
+'|i	339
+h|b	340
+d|w	341
+-|h	342
+x|o	343
+'|k	344
+-|z	345
+ü|r	346
+-	347
+ü	348

g2p/english_us_mfa/meta.json

@@ -1 +1 @@
-{"version": "2.2.6.dev1+g6874b58.d20230320", "architecture": "phonetisaurus", "train_date": "2023-05-07 12:08:58.048522", "phones": ["aj", "aw", "b", "b\u02b2", "c", "c\u02b0", "c\u02b7", "d", "d\u0292", "d\u02b2", "ej", "f", "f\u02b2", "h", "i", "i\u02d0", "j", "k", "k\u02b0", "k\u02b7", "l", "m", "m\u02b2", "n", "ow", "p", "p\u02b0", "p\u02b2", "p\u02b7", "s", "t", "t\u0283", "t\u02b0", "t\u02b2", "t\u02b7", "v", "v\u02b2", "w", "z", "\u00e6", "\u00e7", "\u00f0", "\u014b", "\u0250", "\u0251", "\u0251\u02d0", "\u0252", "\u0252\u02d0", "\u0254j", "\u0259", "\u025a", "\u025b", "\u025d", "\u025f", "\u025f\u02b7", "\u0261", "\u0261\u02b7", "\u026a", "\u026b", "\u0272", "\u0279", "\u0283", "\u0289", "\u0289\u02d0", "\u028a", "\u028e", "\u0292", "\u0294", "\u03b8"], "graphemes": ["\u00fc", "e", "v", "g", "n", "x", "f", "l", "\u00f4", "-", "m", "w", "t", "z", "u", "p", "i", "'", "o", "b", "h", "y", "r", "c", "k", "s", "q", "d", "j", "a"], "grapheme_order": 2, "phone_order": 2, "sequence_separator": "|", "evaluation": {"num_words": 7904, "word_error_rate": null, "phone_error_rate": null}, "training": {"num_words": 71153, "num_graphemes": 30, "num_phones": 69}}
+{"version": "3.3.0", "architecture": "phonetisaurus", "train_date": "2026-05-12 11:53:03.341229", "phones": ["aj", "aw", "b", "b\u02b2", "c", "c\u02b0", "c\u02b7", "d", "d\u0292", "d\u02b2", "d\u032a", "ej", "f", "f\u02b2", "h", "i", "i\u02d0", "j", "k", "k\u02b0", "k\u02b7", "l", "m", "m\u02b2", "m\u0329", "n", "n\u0329", "ow", "p", "p\u02b0", "p\u02b2", "p\u02b7", "s", "t", "t\u0283", "t\u02b0", "t\u02b2", "t\u02b7", "t\u032a", "v", "v\u02b2", "w", "z", "\u00e6", "\u00e7", "\u00f0", "\u014b", "\u0250", "\u0251", "\u0251\u02d0", "\u0252", "\u0252\u02d0", "\u0254j", "\u0259", "\u025a", "\u025b", "\u025d", "\u025f", "\u025f\u02b7", "\u0261", "\u0261\u02b7", "\u026a", "\u026b", "\u026b\u0329", "\u0271", "\u0272", "\u0279", "\u027e", "\u027e\u02b2", "\u027e\u0303", "\u0283", "\u0289", "\u0289\u02d0", "\u028a", "\u028e", "\u0292", "\u0294", "\u03b8"], "graphemes": ["-", "k", "j", "q", "u", "a", "z", "g", "\u00fc", "t", "x", "d", "r", "w", "b", "y", "v", "n", "e", "c", "p", "m", "i", "f", "'", "h", "\u00f4", "o", "s", "l"], "grapheme_order": 2, "phone_order": 2, "sequence_separator": "|", "unicode_decomposition": false, "evaluation": {"num_words": 8068, "word_error_rate": null, "phone_error_rate": null}, "training": {"num_words": 72625, "num_graphemes": 30, "num_phones": 78}}

g2p/english_us_mfa/phones.txt

@@ -0,0 +1,71 @@
+<eps>	0
+ə	1
+ɪ	2
+d	3
+t	4
+m	5
+ɛ	6
+n	7
+ɫ	8
+ɹ	9
+ɚ	10
+ʔ	11
+z	12
+s	13
+ɐ	14
+v	15
+ɑː	16
+ej	17
+dʲ	18
+iː	19
+ɑ	20
+dʒ	21
+vʲ	22
+ɒː	23
+bʲ	24
+tʃ	25
+æ	26
+b	27
+ow	28
+aj	29
+cʰ	30
+p	31
+pʰ	32
+k	33
+kʰ	34
+ʊ	35
+j	36
+ɒ	37
+ɡ	38
+ʎ	39
+i	40
+l	41
+w	42
+f	43
+h	44
+ʉ	45
+ɲ	46
+θ	47
+ʉː	48
+tʲ	49
+ʃ	50
+c	51
+tʰ	52
+pʲ	53
+ŋ	54
+ʒ	55
+tʷ	56
+mʲ	57
+ç	58
+ɝ	59
+ɔj	60
+aw	61
+ɟ	62
+kʷ	63
+fʲ	64
+cʷ	65
+ð	66
+ɟʷ	67
+ɡʷ	68
+pʷ	69
+m̩	70