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 *.zip filter=lfs diff=lfs merge=lfs -text
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+acoustic/final.mdl filter=lfs diff=lfs merge=lfs -text
+acoustic/phone_lm.fst filter=lfs diff=lfs merge=lfs -text
+acoustic/tree filter=lfs diff=lfs merge=lfs -text
+g2p/english_india_mfa/model.fst filter=lfs diff=lfs merge=lfs -text
+g2p/english_nigeria_mfa/model.fst filter=lfs diff=lfs merge=lfs -text
+g2p/english_uk_mfa/model.fst filter=lfs diff=lfs merge=lfs -text
+g2p/english_us_mfa/model.fst filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1,395 @@
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README.md

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+# 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`

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acoustic/final.mdl

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acoustic/graphemes.txt

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+<space> 1
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+[laughter] 4
+' 5
+- 6
+/ 7
+[ 8
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+w 32
+x 33
+y 34
+z 35
+à 36
+é 37
+í 38
+ô 39
+ü 40
+‑ 41
+‘ 42
+’ 43
+<unk> 44
+#0 45
+<s> 46
+</s> 47

acoustic/meta.json

@@ -0,0 +1,487 @@
+{
+    "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,
+        "vʲ": 53,
+        "vʷ": 54,
+        "w": 55,
+        "z": 56,
+        "æ": 57,
+        "ç": 58,
+        "ð": 59,
+        "ŋ": 60,
+        "ɐ": 61,
+        "ɑ": 62,
+        "ɑː": 63,
+        "ɒ": 64,
+        "ɒː": 65,
+        "ɔ": 66,
+        "ɔj": 67,
+        "ɖ": 68,
+        "ə": 69,
+        "əw": 70,
+        "ɚ": 71,
+        "ɛ": 72,
+        "ɛː": 73,
+        "ɜ": 74,
+        "ɜː": 75,
+        "ɝ": 76,
+        "ɟ": 77,
+        "ɟʷ": 78,
+        "ɡ": 79,
+        "ɡb": 80,
+        "ɡʷ": 81,
+        "ɪ": 82,
+        "ɫ": 83,
+        "ɫ̩": 84,
+        "ɱ": 85,
+        "ɲ": 86,
+        "ɹ": 87,
+        "ɾ": 88,
+        "ɾʲ": 89,
+        "ɾ̃": 90,
+        "ʃ": 91,
+        "ʈ": 92,
+        "ʈʲ": 93,
+        "ʈʷ": 94,
+        "ʉ": 95,
+        "ʉː": 96,
+        "ʊ": 97,
+        "ʋ": 98,
+        "ʎ": 99,
+        "ʒ": 100,
+        "ʔ": 101,
+        "θ": 102
+    },
+    "phone_groups": {
+        "0": [
+            "kp",
+            "p",
+            "pʰ",
+            "pʲ",
+            "pʷ"
+        ],
+        "1": [
+            "b",
+            "bʲ",
+            "ɡb"
+        ],
+        "2": [
+            "f",
+            "fʲ",
+            "fʷ"
+        ],
+        "3": [
+            "v",
+            "vʲ",
+            "vʷ"
+        ],
+        "4": [
+            "θ"
+        ],
+        "5": [
+            "t̪"
+        ],
+        "6": [
+            "ð"
+        ],
+        "7": [
+            "d̪"
+        ],
+        "8": [
+            "t",
+            "tʰ",
+            "tʲ",
+            "tʷ",
+            "ʈ",
+            "ʈʲ",
+            "ʈʷ"
+        ],
+        "9": [
+            "ʔ"
+        ],
+        "10": [
+            "d",
+            "dʲ",
+            "ɖ"
+        ],
+        "11": [
+            "ɾ",
+            "ɾʲ"
+        ],
+        "12": [
+            "tʃ"
+        ],
+        "13": [
+            "dʒ"
+        ],
+        "14": [
+            "ʃ"
+        ],
+        "15": [
+            "ʒ"
+        ],
+        "16": [
+            "s"
+        ],
+        "17": [
+            "z"
+        ],
+        "18": [
+            "ɹ"
+        ],
+        "19": [
+            "m",
+            "m̩"
+        ],
+        "20": [
+            "mʲ"
+        ],
+        "21": [
+            "ɱ"
+        ],
+        "22": [
+            "n",
+            "n̩"
+        ],
+        "23": [
+            "ɲ"
+        ],
+        "24": [
+            "ɾ̃"
+        ],
+        "25": [
+            "ŋ"
+        ],
+        "26": [
+            "l"
+        ],
+        "27": [
+            "ɫ",
+            "ɫ̩"
+        ],
+        "28": [
+            "ʎ"
+        ],
+        "29": [
+            "ɟ",
+            "ɟʷ",
+            "ɡ",
+            "ɡʷ"
+        ],
+        "30": [
+            "c",
+            "cʰ",
+            "cʷ"
+        ],
+        "31": [
+            "k",
+            "kʰ",
+            "kʷ"
+        ],
+        "32": [
+            "ç"
+        ],
+        "33": [
+            "h"
+        ],
+        "34": [
+            "ɐ",
+            "ə"
+        ],
+        "35": [
+            "ɜ",
+            "ɜː"
+        ],
+        "36": [
+            "ɚ",
+            "ɝ"
+        ],
+        "37": [
+            "ʊ"
+        ],
+        "38": [
+            "ɪ"
+        ],
+        "39": [
+            "ɑ",
+            "ɑː"
+        ],
+        "40": [
+            "ɒ",
+            "ɒː",
+            "ɔ"
+        ],
+        "41": [
+            "a",
+            "aː"
+        ],
+        "42": [
+            "æ"
+        ],
+        "43": [
+            "aj"
+        ],
+        "44": [
+            "aw"
+        ],
+        "45": [
+            "i",
+            "iː"
+        ],
+        "46": [
+            "j"
+        ],
+        "47": [
+            "ɛ",
+            "ɛː"
+        ],
+        "48": [
+            "e",
+            "ej",
+            "eː"
+        ],
+        "49": [
+            "ʉ",
+            "ʉː"
+        ],
+        "50": [
+            "u",
+            "uː"
+        ],
+        "51": [
+            "w"
+        ],
+        "52": [
+            "ʋ"
+        ],
+        "53": [
+            "ɔj"
+        ],
+        "54": [
+            "o",
+            "ow",
+            "oː",
+            "əw"
+        ]
+    },
+    "version": "3.1.0",
+    "architecture": "gmm-hmm",
+    "train_date": "2024-06-12 12:16:18.584033",
+    "training": {
+        "audio_duration": 12862940.052134357,
+        "num_speakers": 75018,
+        "num_utterances": 2374755,
+        "num_oovs": 0,
+        "average_log_likelihood": -0.08382050453507844
+    },
+    "dictionaries": {
+        "names": [
+            "default",
+            "english_india_mfa",
+            "english_nigeria_mfa",
+            "english_uk_mfa",
+            "english_us_mfa",
+            "nonnative"
+        ],
+        "default": "default",
+        "silence_word": "<eps>",
+        "use_g2p": false,
+        "oov_word": "<unk>",
+        "bracketed_word": "[bracketed]",
+        "laughter_word": "[laughter]",
+        "clitic_marker": "'",
+        "position_dependent_phones": false
+    },
+    "language": "unknown",
+    "features": {
+        "type": "mfcc",
+        "use_energy": true,
+        "frame_shift": 10,
+        "frame_length": 25,
+        "snip_edges": false,
+        "low_frequency": 20,
+        "high_frequency": 7800,
+        "sample_frequency": 16000,
+        "dither": 0.0001,
+        "energy_floor": 1.0,
+        "num_coefficients": 13,
+        "num_mel_bins": 23,
+        "cepstral_lifter": 22,
+        "preemphasis_coefficient": 0.97,
+        "uses_cmvn": true,
+        "uses_deltas": true,
+        "uses_voiced": false,
+        "uses_splices": false,
+        "uses_speaker_adaptation": true,
+        "use_pitch": false,
+        "use_voicing": false,
+        "min_f0": 50,
+        "max_f0": 800,
+        "delta_pitch": 0.005,
+        "penalty_factor": 0.1,
+        "silence_weight": 0.0,
+        "splice_left_context": 3,
+        "splice_right_context": 3
+    },
+    "oov_phone": "spn",
+    "optional_silence_phone": "sil",
+    "phone_set_type": "UNKNOWN",
+    "silence_probability": 0.17,
+    "initial_silence_probability": 0.17,
+    "final_silence_correction": 0.99,
+    "final_non_silence_correction": 0.2966666666666667
+}

acoustic/phones.txt

@@ -0,0 +1,103 @@
+<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
+vʲ	53
+vʷ	54
+w	55
+z	56
+æ	57
+ç	58
+ð	59
+ŋ	60
+ɐ	61
+ɑ	62
+ɑː	63
+ɒ	64
+ɒː	65
+ɔ	66
+ɔj	67
+ɖ	68
+ə	69
+əw	70
+ɚ	71
+ɛ	72
+ɛː	73
+ɜ	74
+ɜː	75
+ɝ	76
+ɟ	77
+ɟʷ	78
+ɡ	79
+ɡb	80
+ɡʷ	81
+ɪ	82
+ɫ	83
+ɫ̩	84
+ɱ	85
+ɲ	86
+ɹ	87
+ɾ	88
+ɾʲ	89
+ɾ̃	90
+ʃ	91
+ʈ	92
+ʈʲ	93
+ʈʷ	94
+ʉ	95
+ʉː	96
+ʊ	97
+ʋ	98
+ʎ	99
+ʒ	100
+ʔ	101
+θ	102

acoustic/rules.yaml

@@ -0,0 +1,1679 @@
+dialects:
+  india:
+  - following_context: ə|ɚ
+    non_silence_before_correction: -0.09
+    preceding_context: ''
+    probability: 0.01
+    replacement: w
+    segment: '[ʉu]'
+    silence_after_probability: 1.18
+    silence_before_correction: 0.08
+  - following_context: $
+    non_silence_before_correction: -0.01
+    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: 1.64
+    silence_before_correction: 0.01
+  - following_context: '[tʈpkcsʃf][ʲʷ]?'
+    non_silence_before_correction: 0.07
+    preceding_context: ''
+    probability: 0.16
+    replacement: s
+    segment: z
+    silence_after_probability: 0.91
+    silence_before_correction: -0.14
+  - following_context: '[tʈpkcsʃf][ʲʷ]?'
+    non_silence_before_correction: 0.0
+    preceding_context: ''
+    probability: 0.21
+    replacement: p
+    segment: b
+    silence_after_probability: 1.07
+    silence_before_correction: 0.0
+  - following_context: '[tʈpkcsʃf][ʲʷ]?'
+    non_silence_before_correction: -0.05
+    preceding_context: ''
+    probability: 0.06
+    replacement: tʃ
+    segment: dʒ
+    silence_after_probability: 4.67
+    silence_before_correction: 0.32
+  - following_context: '[vʋf]ʲ?'
+    non_silence_before_correction: -0.06
+    preceding_context: ''
+    probability: 0.01
+    replacement: ɱ
+    segment: m
+    silence_after_probability: 1.83
+    silence_before_correction: 0.04
+  - following_context: '[vʋf]ʲ?'
+    non_silence_before_correction: -0.02
+    preceding_context: ''
+    probability: 0.01
+    replacement: ɱ
+    segment: n
+    silence_after_probability: 2.36
+    silence_before_correction: -0.02
+  - following_context: '[tʈdɖ]$'
+    non_silence_before_correction: 0.0
+    preceding_context: m
+    probability: 0.11
+    replacement: ''
+    segment: '[pb]'
+    silence_after_probability: 2.0
+    silence_before_correction: 0.01
+  - following_context: '[sz]$'
+    non_silence_before_correction: -0.05
+    preceding_context: n
+    probability: 0.12
+    replacement: ''
+    segment: '[tʈdɖ]'
+    silence_after_probability: 0.69
+    silence_before_correction: 0.08
+  - following_context: '[s]$'
+    non_silence_before_correction: 0.14
+    preceding_context: ''
+    probability: 0.03
+    replacement: k
+    segment: '[sʃ] k'
+    silence_after_probability: 1.83
+    silence_before_correction: -0.2
+  - following_context: $
+    non_silence_before_correction: 0.0
+    preceding_context: ''
+    probability: 0.02
+    replacement: k s
+    segment: s k
+    silence_after_probability: 1.22
+    silence_before_correction: -0.11
+  - following_context: '[dɖʈtcɟɡk][ʲʷ]?'
+    non_silence_before_correction: 0.0
+    preceding_context: ''
+    probability: 0.05
+    replacement: ''
+    segment: p
+    silence_after_probability: 1.18
+    silence_before_correction: 0.01
+  - following_context: '[pbcɟɡk][ʲʷ]?'
+    non_silence_before_correction: -0.07
+    preceding_context: ''
+    probability: 0.01
+    replacement: ''
+    segment: '[tʈ]'
+    silence_after_probability: 1.11
+    silence_before_correction: 0.08
+  - following_context: '[dɖtʈcɟɡk][ʲʷ]?'
+    non_silence_before_correction: 0.01
+    preceding_context: ''
+    probability: 0.11
+    replacement: ''
+    segment: b
+    silence_after_probability: 1.1
+    silence_before_correction: -0.06
+  - following_context: '[dɖtʈpb][ʲʷ]?'
+    non_silence_before_correction: 0.02
+    preceding_context: ''
+    probability: 0.06
+    replacement: ''
+    segment: k
+    silence_after_probability: 1.13
+    silence_before_correction: -0.04
+  - following_context: '[dɖtʈpb][ʲʷ]?'
+    non_silence_before_correction: -0.01
+    preceding_context: ''
+    probability: 0.01
+    replacement: ''
+    segment: ɡ
+    silence_after_probability: 1.77
+    silence_before_correction: 0.01
+  - following_context: ([tʈpkc][ʲʷ]?)? ɹ
+    non_silence_before_correction: -0.02
+    preceding_context: ''
+    probability: 0.03
+    replacement: ʃ
+    segment: s
+    silence_after_probability: 1.28
+    silence_before_correction: 0.02
+  - following_context: ɹ
+    non_silence_before_correction: 0.0
+    preceding_context: ''
+    probability: 0.05
+    replacement: tʃ
+    segment: '[tʈ][ʲʷ]?'
+    silence_after_probability: 1.26
+    silence_before_correction: -0.02
+  - following_context: ''
+    non_silence_before_correction: 0.02
+    preceding_context: ''
+    probability: 0.03
+    replacement: tʃ
+    segment: '[tʈ][ʲʷ]? ɹ'
+    silence_after_probability: 1.08
+    silence_before_correction: -0.03
+  - following_context: ''
+    non_silence_before_correction: 0.0
+    preceding_context: ''
+    probability: 0.01
+    replacement: dʒ
+    segment: '[dɖ][ʲʷ]? ɹ'
+    silence_after_probability: 0.92
+    silence_before_correction: 0.01
+  - following_context: ɹ
+    non_silence_before_correction: -0.09
+    preceding_context: ''
+    probability: 0.03
+    replacement: dʒ
+    segment: '[dɖ][ʲʷ]?'
+    silence_after_probability: 1.11
+    silence_before_correction: 0.13
+  - following_context: ə n
+    non_silence_before_correction: 0.04
+    preceding_context: ''
+    probability: 0.01
+    replacement: ʔ
+    segment: '[tʈ]'
+    silence_after_probability: 0.57
+    silence_before_correction: -0.09
+  - following_context: $
+    non_silence_before_correction: 0.01
+    preceding_context: ɪ
+    probability: 0.21
+    replacement: n
+    segment: ŋ
+    silence_after_probability: 1.23
+    silence_before_correction: -0.03
+  - following_context: z$
+    non_silence_before_correction: -0.07
+    preceding_context: ɪ
+    probability: 0.2
+    replacement: n
+    segment: ŋ
+    silence_after_probability: 1.41
+    silence_before_correction: 0.09
+  - following_context: ''
+    non_silence_before_correction: 0.05
+    preceding_context: ''
+    probability: 0.03
+    replacement: l ə
+    segment: ə l ə
+    silence_after_probability: 0.98
+    silence_before_correction: -0.07
+  - following_context: ''
+    non_silence_before_correction: 0.03
+    preceding_context: ''
+    probability: 0.2
+    replacement: n ə
+    segment: ə n ə
+    silence_after_probability: 0.69
+    silence_before_correction: 0.05
+  - following_context: ''
+    non_silence_before_correction: 0.01
+    preceding_context: ''
+    probability: 0.03
+    replacement: m ə
+    segment: ə m ə
+    silence_after_probability: 1.0
+    silence_before_correction: -0.04
+  - following_context: ''
+    non_silence_before_correction: 0.02
+    preceding_context: ''
+    probability: 0.18
+    replacement: ɹ ə
+    segment: ə ɹ ə
+    silence_after_probability: 0.64
+    silence_before_correction: -0.06
+  - following_context: ''
+    non_silence_before_correction: 0.0
+    preceding_context: ''
+    probability: 0.12
+    replacement: ɾ
+    segment: ɹ
+    silence_after_probability: 1.15
+    silence_before_correction: -0.01
+  - 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: -0.02
+    preceding_context: ^
+    probability: 0.01
+    replacement: ''
+    segment: ə
+    silence_after_probability: 1.27
+    silence_before_correction: -0.01
+  - following_context: $
+    non_silence_before_correction: 0.01
+    preceding_context: '[sʃn]'
+    probability: 0.06
+    replacement: ''
+    segment: '[tʈ]'
+    silence_after_probability: 0.61
+    silence_before_correction: -0.03
+  - following_context: $
+    non_silence_before_correction: 0.03
+    preceding_context: '[zʒn]'
+    probability: 0.19
+    replacement: ''
+    segment: '[dɖ]'
+    silence_after_probability: 0.38
+    silence_before_correction: -0.06
+  - following_context: ''
+    non_silence_before_correction: 0.02
+    preceding_context: n
+    probability: 0.02
+    replacement: ''
+    segment: '[dɖ]'
+    silence_after_probability: 1.25
+    silence_before_correction: -0.04
+  - following_context: ə|ɚ
+    non_silence_before_correction: 0.05
+    preceding_context: ''
+    probability: 0.01
+    replacement: j
+    segment: i
+    silence_after_probability: 1.3
+    silence_before_correction: -0.11
+  - following_context: ''
+    non_silence_before_correction: 0.0
+    preceding_context: ''
+    probability: 0.02
+    replacement: a
+    segment: ɒ
+    silence_after_probability: 1.29
+    silence_before_correction: -0.03
+  - following_context: ''
+    non_silence_before_correction: -0.02
+    preceding_context: ''
+    probability: 0.01
+    replacement: a
+    segment: ɑ
+    silence_after_probability: 1.45
+    silence_before_correction: 0.03
+  - following_context: ''
+    non_silence_before_correction: -0.02
+    preceding_context: ''
+    probability: 0.03
+    replacement: aː
+    segment: ɒː
+    silence_after_probability: 1.5
+    silence_before_correction: 0.02
+  - following_context: ''
+    non_silence_before_correction: 0.02
+    preceding_context: ''
+    probability: 0.12
+    replacement: aː
+    segment: ɑː
+    silence_after_probability: 1.03
+    silence_before_correction: -0.05
+  - following_context: ''
+    non_silence_before_correction: 0.0
+    preceding_context: ''
+    probability: 0.03
+    replacement: dʒ
+    segment: z
+    silence_after_probability: 2.04
+    silence_before_correction: -0.01
+  - following_context: ''
+    non_silence_before_correction: -0.04
+    preceding_context: ''
+    probability: 0.03
+    replacement: dʒ
+    segment: ʒ
+    silence_after_probability: 1.74
+    silence_before_correction: 0.04
+  - following_context: ''
+    non_silence_before_correction: -0.03
+    preceding_context: ''
+    probability: 0.03
+    replacement: z
+    segment: ʒ
+    silence_after_probability: 1.08
+    silence_before_correction: 0.03
+  - following_context: ''
+    non_silence_before_correction: -0.01
+    preceding_context: ''
+    probability: 0.19
+    replacement: ʃ
+    segment: ʒ
+    silence_after_probability: 1.15
+    silence_before_correction: 0.01
+  nigeria:
+  - following_context: $
+    non_silence_before_correction: 0.03
+    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: 0.06
+    replacement: ''
+    segment: '[tʈ]'
+    silence_after_probability: 0.36
+    silence_before_correction: -0.09
+  - following_context: ''
+    non_silence_before_correction: 0.04
+    preceding_context: ''
+    probability: 0.25
+    replacement: d̪
+    segment: ð
+    silence_after_probability: 0.73
+    silence_before_correction: -0.22
+  - following_context: ''
+    non_silence_before_correction: 0.04
+    preceding_context: ''
+    probability: 0.21
+    replacement: t̪
+    segment: θ
+    silence_after_probability: 0.45
+    silence_before_correction: -0.15
+  - following_context: '[tʈpkcsʃf][ʲʷ]?'
+    non_silence_before_correction: 0.03
+    preceding_context: ''
+    probability: 0.06
+    replacement: s
+    segment: z
+    silence_after_probability: 0.57
+    silence_before_correction: -0.03
+  - following_context: '[tʈpkcsʃf][ʲʷ]?'
+    non_silence_before_correction: 0.03
+    preceding_context: ''
+    probability: 0.06
+    replacement: t
+    segment: d
+    silence_after_probability: 0.71
+    silence_before_correction: -0.04
+  - following_context: '[tʈpkcsʃf][ʲʷ]?'
+    non_silence_before_correction: 0.0
+    preceding_context: ''
+    probability: 0.04
+    replacement: p
+    segment: b
+    silence_after_probability: 0.34
+    silence_before_correction: 0.03
+  - following_context: '[vʋf]ʲ?'
+    non_silence_before_correction: 0.04
+    preceding_context: ''
+    probability: 0.01
+    replacement: ɱ
+    segment: m
+    silence_after_probability: 1.22
+    silence_before_correction: -0.07
+  - following_context: '[vʋf]ʲ?'
+    non_silence_before_correction: -0.01
+    preceding_context: ''
+    probability: 0.01
+    replacement: ɱ
+    segment: n
+    silence_after_probability: 0.49
+    silence_before_correction: 0.01
+  - following_context: '[tʈdɖ]$'
+    non_silence_before_correction: -0.01
+    preceding_context: m
+    probability: 0.05
+    replacement: ''
+    segment: '[pb]'
+    silence_after_probability: 0.8
+    silence_before_correction: 0.04
+  - following_context: '[sz]$'
+    non_silence_before_correction: -0.02
+    preceding_context: n
+    probability: 0.08
+    replacement: ''
+    segment: '[tʈdɖ]'
+    silence_after_probability: 0.12
+    silence_before_correction: 0.02
+  - following_context: '[s]$'
+    non_silence_before_correction: 0.02
+    preceding_context: ''
+    probability: 0.03
+    replacement: ''
+    segment: '[sʃ] t'
+    silence_after_probability: 0.26
+    silence_before_correction: -0.08
+  - following_context: $
+    non_silence_before_correction: 0.05
+    preceding_context: ''
+    probability: 0.01
+    replacement: k s
+    segment: s k
+    silence_after_probability: 0.98
+    silence_before_correction: -0.15
+  - following_context: '[dɖʈtcɟɡk][ʲʷ]?'
+    non_silence_before_correction: 0.04
+    preceding_context: ''
+    probability: 0.03
+    replacement: ''
+    segment: p
+    silence_after_probability: 0.61
+    silence_before_correction: -0.04
+  - following_context: '[pbcɟɡk][ʲʷ]?'
+    non_silence_before_correction: -0.1
+    preceding_context: ''
+    probability: 0.02
+    replacement: ''
+    segment: '[tʈ]'
+    silence_after_probability: 0.44
+    silence_before_correction: 0.24
+  - following_context: '[pbcɟɡk][ʲʷ]?'
+    non_silence_before_correction: 0.12
+    preceding_context: ''
+    probability: 0.01
+    replacement: ''
+    segment: d
+    silence_after_probability: 1.68
+    silence_before_correction: -0.18
+  - following_context: '[dɖtʈcɟɡk][ʲʷ]?'
+    non_silence_before_correction: 0.02
+    preceding_context: ''
+    probability: 0.03
+    replacement: ''
+    segment: b
+    silence_after_probability: 0.61
+    silence_before_correction: -0.04
+  - following_context: '[dɖtʈpb][ʲʷ]?'
+    non_silence_before_correction: 0.03
+    preceding_context: ''
+    probability: 0.05
+    replacement: ''
+    segment: k
+    silence_after_probability: 0.23
+    silence_before_correction: -0.05
+  - following_context: ([tʈpkc][ʲʷ]?)? ɹ
+    non_silence_before_correction: 0.04
+    preceding_context: ''
+    probability: 0.01
+    replacement: ʃ
+    segment: s
+    silence_after_probability: 0.64
+    silence_before_correction: -0.06
+  - following_context: ɹ
+    non_silence_before_correction: 0.01
+    preceding_context: ''
+    probability: 0.01
+    replacement: tʃ
+    segment: '[tʈ][ʲʷ]?'
+    silence_after_probability: 0.34
+    silence_before_correction: -0.02
+  - following_context: ''
+    non_silence_before_correction: 0.01
+    preceding_context: ''
+    probability: 0.03
+    replacement: tʃ
+    segment: '[tʈ][ʲʷ]? ɹ'
+    silence_after_probability: 0.34
+    silence_before_correction: -0.03
+  - following_context: ''
+    non_silence_before_correction: 0.06
+    preceding_context: ''
+    probability: 0.01
+    replacement: dʒ
+    segment: '[dɖ][ʲʷ]? ɹ'
+    silence_after_probability: 0.75
+    silence_before_correction: -0.09
+  - following_context: ɹ
+    non_silence_before_correction: -0.06
+    preceding_context: ''
+    probability: 0.01
+    replacement: dʒ
+    segment: '[dɖ][ʲʷ]?'
+    silence_after_probability: 0.92
+    silence_before_correction: 0.13
+  - following_context: $
+    non_silence_before_correction: 0.02
+    preceding_context: ''
+    probability: 0.04
+    replacement: p s
+    segment: b z
+    silence_after_probability: 0.58
+    silence_before_correction: -0.07
+  - following_context: $
+    non_silence_before_correction: -0.02
+    preceding_context: ''
+    probability: 0.05
+    replacement: t s
+    segment: d z
+    silence_after_probability: 0.38
+    silence_before_correction: 0.05
+  - following_context: $
+    non_silence_before_correction: 0.0
+    preceding_context: ''
+    probability: 0.02
+    replacement: k s
+    segment: ɡ z
+    silence_after_probability: 0.91
+    silence_before_correction: -0.03
+  - following_context: $
+    non_silence_before_correction: 0.0
+    preceding_context: ''
+    probability: 0.05
+    replacement: s
+    segment: z
+    silence_after_probability: 0.58
+    silence_before_correction: -0.01
+  - following_context: ''
+    non_silence_before_correction: -0.01
+    preceding_context: ^
+    probability: 0.04
+    replacement: ''
+    segment: ç
+    silence_after_probability: 0.67
+    silence_before_correction: -0.14
+  - following_context: ''
+    non_silence_before_correction: -0.03
+    preceding_context: ^
+    probability: 0.03
+    replacement: ''
+    segment: h
+    silence_after_probability: 0.31
+    silence_before_correction: 0.04
+  - following_context: $
+    non_silence_before_correction: 0.02
+    preceding_context: ŋ
+    probability: 0.35
+    replacement: ''
+    segment: ɡ
+    silence_after_probability: 0.12
+    silence_before_correction: -0.04
+  - following_context: $
+    non_silence_before_correction: 0.02
+    preceding_context: '[sʃn]'
+    probability: 0.11
+    replacement: ''
+    segment: '[tʈ]'
+    silence_after_probability: 0.15
+    silence_before_correction: -0.05
+  - following_context: $
+    non_silence_before_correction: 0.01
+    preceding_context: '[zʒn]'
+    probability: 0.07
+    replacement: ''
+    segment: '[dɖ]'
+    silence_after_probability: 0.21
+    silence_before_correction: -0.03
+  - following_context: ''
+    non_silence_before_correction: 0.03
+    preceding_context: n
+    probability: 0.01
+    replacement: ''
+    segment: '[dɖ]'
+    silence_after_probability: 0.25
+    silence_before_correction: -0.07
+  nonnative:
+  - following_context: ə|ɚ
+    non_silence_before_correction: -0.07
+    preceding_context: ''
+    probability: 0.02
+    replacement: w
+    segment: '[ʉu]'
+    silence_after_probability: 0.94
+    silence_before_correction: 0.1
+  - following_context: $
+    non_silence_before_correction: -0.01
+    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
+    replacement: ''
+    segment: '[tʈ]'
+    silence_after_probability: 0.76
+    silence_before_correction: 0.04
+  - following_context: ''
+    non_silence_before_correction: -0.16
+    preceding_context: ''
+    probability: 0.47
+    replacement: d̪
+    segment: ð
+    silence_after_probability: 1.36
+    silence_before_correction: 0.59
+  - following_context: ''
+    non_silence_before_correction: -0.04
+    preceding_context: ''
+    probability: 0.04
+    replacement: t̪
+    segment: θ
+    silence_after_probability: 2.03
+    silence_before_correction: 0.1
+  - following_context: '[tʈpkcsʃf][ʲʷ]?'
+    non_silence_before_correction: 0.08
+    preceding_context: ''
+    probability: 0.15
+    replacement: s
+    segment: z
+    silence_after_probability: 1.75
+    silence_before_correction: -0.09
+  - following_context: '[tʈpkcsʃf][ʲʷ]?'
+    non_silence_before_correction: 0.01
+    preceding_context: ''
+    probability: 0.31
+    replacement: t
+    segment: d
+    silence_after_probability: 1.66
+    silence_before_correction: 0.1
+  - following_context: '[tʈpkcsʃf][ʲʷ]?'
+    non_silence_before_correction: -0.04
+    preceding_context: ''
+    probability: 0.22
+    replacement: p
+    segment: b
+    silence_after_probability: 1.39
+    silence_before_correction: 0.08
+  - following_context: '[tpkcsʃf][ʲʷ]?'
+    non_silence_before_correction: 0.03
+    preceding_context: ''
+    probability: 0.5
+    replacement: k
+    segment: ɡ
+    silence_after_probability: 2.5
+    silence_before_correction: -0.07
+  - following_context: '[vʋf]ʲ?'
+    non_silence_before_correction: 0.15
+    preceding_context: ''
+    probability: 0.01
+    replacement: ɱ
+    segment: m
+    silence_after_probability: 2.41
+    silence_before_correction: -0.2
+  - following_context: '[vʋf]ʲ?'
+    non_silence_before_correction: -0.06
+    preceding_context: ''
+    probability: 0.01
+    replacement: ɱ
+    segment: n
+    silence_after_probability: 1.46
+    silence_before_correction: 0.06
+  - following_context: '[tʈdɖ]$'
+    non_silence_before_correction: 0.09
+    preceding_context: m
+    probability: 0.2
+    replacement: ''
+    segment: '[pb]'
+    silence_after_probability: 2.0
+    silence_before_correction: -0.17
+  - following_context: '[sz]$'
+    non_silence_before_correction: -0.03
+    preceding_context: n
+    probability: 0.11
+    replacement: ''
+    segment: '[tʈdɖ]'
+    silence_after_probability: 0.81
+    silence_before_correction: 0.08
+  - following_context: '[s]$'
+    non_silence_before_correction: 0.03
+    preceding_context: ''
+    probability: 0.04
+    replacement: ''
+    segment: '[sʃ] t'
+    silence_after_probability: 0.91
+    silence_before_correction: -0.04
+  - following_context: '[dɖʈtcɟɡk][ʲʷ]?'
+    non_silence_before_correction: 0.02
+    preceding_context: ''
+    probability: 0.04
+    replacement: ''
+    segment: p
+    silence_after_probability: 1.24
+    silence_before_correction: -0.03
+  - following_context: '[pbcɟɡk][ʲʷ]?'
+    non_silence_before_correction: 0.03
+    preceding_context: ''
+    probability: 0.03
+    replacement: ''
+    segment: '[tʈ]'
+    silence_after_probability: 0.89
+    silence_before_correction: -0.09
+  - following_context: '[dɖtʈcɟɡk][ʲʷ]?'
+    non_silence_before_correction: 0.07
+    preceding_context: ''
+    probability: 0.06
+    replacement: ''
+    segment: b
+    silence_after_probability: 1.48
+    silence_before_correction: -0.11
+  - following_context: '[dɖtʈpb][ʲʷ]?'
+    non_silence_before_correction: 0.0
+    preceding_context: ''
+    probability: 0.02
+    replacement: ''
+    segment: k
+    silence_after_probability: 1.21
+    silence_before_correction: -0.01
+  - following_context: ([tʈpkc][ʲʷ]?)? ɹ
+    non_silence_before_correction: 0.05
+    preceding_context: ''
+    probability: 0.01
+    replacement: ʃ
+    segment: s
+    silence_after_probability: 1.51
+    silence_before_correction: -0.06
+  - following_context: ɹ
+    non_silence_before_correction: 0.01
+    preceding_context: ''
+    probability: 0.12
+    replacement: tʃ
+    segment: '[tʈ][ʲʷ]?'
+    silence_after_probability: 1.34
+    silence_before_correction: -0.02
+  - following_context: ''
+    non_silence_before_correction: 0.02
+    preceding_context: ''
+    probability: 0.01
+    replacement: tʃ
+    segment: '[tʈ][ʲʷ]? ɹ'
+    silence_after_probability: 1.39
+    silence_before_correction: -0.04
+  - following_context: ''
+    non_silence_before_correction: 0.0
+    preceding_context: ''
+    probability: 0.01
+    replacement: dʒ
+    segment: '[dɖ][ʲʷ]? ɹ'
+    silence_after_probability: 0.86
+    silence_before_correction: 0.01
+  - following_context: ɹ
+    non_silence_before_correction: -0.11
+    preceding_context: ''
+    probability: 0.05
+    replacement: dʒ
+    segment: '[dɖ][ʲʷ]?'
+    silence_after_probability: 1.47
+    silence_before_correction: 0.17
+  - following_context: ə n
+    non_silence_before_correction: 0.0
+    preceding_context: ''
+    probability: 0.01
+    replacement: ʔ
+    segment: '[tʈ]'
+    silence_after_probability: 1.59
+    silence_before_correction: 0.02
+  - following_context: $
+    non_silence_before_correction: 0.01
+    preceding_context: ɪ
+    probability: 0.15
+    replacement: n
+    segment: ŋ
+    silence_after_probability: 1.23
+    silence_before_correction: -0.02
+  - following_context: z$
+    non_silence_before_correction: -0.01
+    preceding_context: ɪ
+    probability: 0.07
+    replacement: n
+    segment: ŋ
+    silence_after_probability: 1.12
+    silence_before_correction: 0.0
+  - following_context: ''
+    non_silence_before_correction: 0.08
+    preceding_context: ''
+    probability: 0.03
+    replacement: l ə
+    segment: ə l ə
+    silence_after_probability: 1.29
+    silence_before_correction: -0.15
+  - following_context: ''
+    non_silence_before_correction: 0.06
+    preceding_context: ''
+    probability: 0.04
+    replacement: n ə
+    segment: ə n ə
+    silence_after_probability: 0.81
+    silence_before_correction: -0.13
+  - following_context: ''
+    non_silence_before_correction: 0.16
+    preceding_context: ''
+    probability: 0.03
+    replacement: m ə
+    segment: ə m ə
+    silence_after_probability: 0.8
+    silence_before_correction: -0.24
+  - following_context: ''
+    non_silence_before_correction: 0.02
+    preceding_context: ''
+    probability: 0.11
+    replacement: ɹ ə
+    segment: ə ɹ ə
+    silence_after_probability: 0.9
+    silence_before_correction: -0.04
+  - following_context: ''
+    non_silence_before_correction: -0.05
+    preceding_context: ''
+    probability: 0.13
+    replacement: z
+    segment: ð
+    silence_after_probability: 1.73
+    silence_before_correction: 0.07
+  - following_context: ''
+    non_silence_before_correction: -0.05
+    preceding_context: ''
+    probability: 0.01
+    replacement: s
+    segment: θ
+    silence_after_probability: 1.62
+    silence_before_correction: 0.05
+  - following_context: $
+    non_silence_before_correction: 0.0
+    preceding_context: ''
+    probability: 0.07
+    replacement: s
+    segment: z
+    silence_after_probability: 1.38
+    silence_before_correction: 0.01
+  - following_context: $
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+    segment: v
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+    probability: 0.06
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+    segment: '[vw]ʲ'
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+    preceding_context: ''
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+    segment: ɪ
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+    segment: ʊ
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+    probability: 0.02
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+    segment: '[hç]'
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+    silence_before_correction: -0.11
+  - following_context: ''
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+    preceding_context: ''
+    probability: 0.02
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+    segment: '[ʎɫl]'
+    silence_after_probability: 1.28
+    silence_before_correction: -0.02
+  - 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?
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+    preceding_context: ^
+    probability: 0.01
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+    preceding_context: n
+    probability: 0.02
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+    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: 0.03
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+    preceding_context: ''
+    probability: 0.49
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+  - following_context: '[tʈpkcsʃf][ʲʷ]?'
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+    preceding_context: ''
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+    silence_before_correction: 0.2
+  - following_context: '[tpkcsʃf][ʲʷ]?'
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+    preceding_context: ''
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+    preceding_context: ''
+    probability: 0.02
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+    probability: 0.08
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+    probability: 0.1
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+  - following_context: '[tʈpkcsʃf][ʲʷ]?'
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+    segment: d
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+  - following_context: '[tʈpkcsʃf][ʲʷ]?'
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+  - following_context: $
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+  - following_context: '[^ʊɔɝaɔɛɜeuoæɐɪəɚɑʉɒi].*'
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+    replacement: ɫ̩
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+rules: []

acoustic/tree

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g2p/english_india_mfa/meta.json

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+{"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}}

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g2p/english_nigeria_mfa/meta.json

@@ -0,0 +1 @@
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g2p/english_nigeria_mfa/phones.sym

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g2p/english_uk_mfa/graphemes.sym

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g2p/english_uk_mfa/meta.json

@@ -0,0 +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}}

g2p/english_uk_mfa/phones.sym

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g2p/english_us_mfa/graphemes.sym

@@ -0,0 +1,354 @@
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+y|o	254
+j|i	255
+a|k	256
+k|s	257
+k|k	258
+k|n	259
+w|i	260
+x|e	261
+f|u	262
+n|k	263
+i|g	264
+y|s	265
+p|a	266
+n|u	267
+s|a	268
+v|y	269
+i|v	270
+o|s	271
+o|e	272
+f|y	273
+y|g	274
+w|s	275
+n|f	276
+y|i	277
+t|l	278
+t|w	279
+w|h	280
+q|a	281
+q	282
+o|c	283
+k|w	284
+w|r	285
+r|s	286
+o|f	287
+s|y	288
+h|w	289
+h|n	290
+a|v	291
+-|g	292
+y|e	293
+y|u	294
+z|u	295
+z|y	296
+'|l	297
+'|y	298
+h|r	299
+k|y	300
+k|l	301
+v|v	302
+o|d	303
+i|f	304
+x|s	305
+y|d	306
+y|r	307
+z|h	308
+q|l	309
+d|l	310
+w|u	311
+q|i	312
+e|f	313
+k|r	314
+w|n	315
+d|n	316
+w|k	317
+w|m	318
+c|s	319
+ô	320
+v|l	321
+w|d	322
+x|x	323
+e|x	324
+x|c	325
+x|h	326
+x|t	327
+'|c	328
+b|s	329
+'|p	330
+x|u	331
+y|w	332
+h|m	333
+-|j	334
+w|l	335
+'|e	336
+'|o	337
+-|m	338
+w|b	339
+w|f	340
+w|t	341
+x|y	342
+x|a	343
+x|o	344
+'|i	345
+h|b	346
+d|w	347
+-|t	348
+-|h	349
+-|z	350
+ü|r	351
+-	352
+ü	353

g2p/english_us_mfa/meta.json

@@ -0,0 +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}}

g2p/english_us_mfa/phones.sym

@@ -0,0 +1,70 @@
+<eps>	0
+ə	1
+d	2
+t	3
+ɪ	4
+m	5
+ɛ	6
+n	7
+ɫ	8
+ɚ	9
+ɹ	10
+ʔ	11
+s	12
+z	13
+ɐ	14
+v	15
+ej	16
+ɑː	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
+j	34
+ʊ	35
+kʰ	36
+ɒ	37
+ɡ	38
+l	39
+w	40
+f	41
+h	42
+ʉ	43
+ɲ	44
+pʲ	45
+i	46
+θ	47
+ʉː	48
+tʲ	49
+ʃ	50
+c	51
+tʰ	52
+ʎ	53
+ŋ	54
+ʒ	55
+mʲ	56
+ç	57
+ɝ	58
+ɔj	59
+aw	60
+fʲ	61
+ɟ	62
+kʷ	63
+cʷ	64
+ð	65
+ɟʷ	66
+ɡʷ	67
+tʷ	68
+pʷ	69