Create README.md

Added dataset card

README.md

@@ -1,47 +1,72 @@
 ---
-dataset_info:
-  features:
-  - name: speaker
-    dtype: string
-  - name: audio
-    dtype: audio
-  - name: text
-    dtype: string
-  - name: language
-    dtype: string
-  - name: gender
-    dtype: string
-  - name: age
-    dtype: string
-  - name: accent
-    dtype: string
-  - name: labels
-    list:
-    - name: end
-      dtype: float64
-    - name: start
-      dtype: float64
-    - name: symbol
-      dtype: string
-  splits:
-  - name: train
-    num_bytes: 9337350005
-    num_examples: 56102
-  - name: dev
-    num_bytes: 1675175519
-    num_examples: 9996
-  - name: test
-    num_bytes: 1723275391
-    num_examples: 10209
-  download_size: 12366752938
-  dataset_size: 12735800915
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: dev
-    path: data/dev-*
-  - split: test
-    path: data/test-*
+license: cc0-1.0
+task_categories:
+- automatic-speech-recognition
+language:
+- en
+- de
+- fr
+- it
+- ru
+- es
+tags:
+- speech
+- phonetics
+- phoneme-recognition
+- acoustic-modeling
+pretty_name: Common Phone
+size_categories:
+- 10K<n<100K
 ---
+# Dataset Card for Common Phone
+
+This corpus aims to provide a basis for Machine Learning (ML) researchers and enthusiasts to train and test their models against a wide variety of speakers, hardware/software ecosystems and acoustic conditions to improve generalization and availability of ML in real-world speech applications.
+The current version of Common Phone comprises 116,5 hours of speech samples, collected from 11.246 speakers in 6 languages.
+
+Common Phone has been used as the primary corpus for the PhD thesis of Philipp Klumpp: [Phonetic Transfer Learning from Healthy References for the Analysis of Pathological Speech](https://www.researchgate.net/publication/382194988_Phonetic_Transfer_Learning_from_Healthy_References_for_the_Analysis_of_Pathological_Speech). The respective [Wav2Vec2 model](https://huggingface.co/pklumpp/Wav2Vec2_CommonPhone) can also be found on Hugging Face.
+
+It also served as a foundation for highly robust production-grade speech and phoneme recognition models.
+
+## Dataset Details
+
+For details, check out our peer-reviewed publication [Common Phone: A Multilingual Dataset for Robust Acoustic Modelling](https://aclanthology.org/anthology-files/anthology-files/pdf/lrec/2022.lrec-1.81.pdf), which was presented at LREC 2022.
+
+If you use Common Phone for your research, please cite our work:
+```
+ @inproceedings{
+  klumpp2022common,
+  title={Common Phone: A Multilingual Dataset for Robust Acoustic Modelling},
+  author={Klumpp, Philipp and Arias, Tomas and P{\'e}rez-Toro, Paula Andrea and Noeth, Elmar and Orozco-Arroyave, Juan},
+  booktitle={Proceedings of the Thirteenth Language Resources and Evaluation Conference},
+  pages={763--768},
+  year={2022}
+}
+```
+
+- **Curated by: [Philipp Klumpp](https://www.linkedin.com/in/philipp-klumpp/)**
+- **Language(s) (NLP): English, German, Italian, Spanish, French, Russian**
+- **License: Creative Commons Zero v1.0 Universal**
+
+### Dataset Sources
+
+The dataset sources, including mp3/wav files and TextGrids, are also available via Zenodo.
+
+- **Repository: [Common Phone on Zenodo](https://zenodo.org/records/5846137)**
+
+## Uses
+
+**Why Common Phone?**
+  - Large number of speakers and varying acoustic conditions to improve robustness of ML models
+  - Time-aligned IPA phonetic transcription for every audio sample
+  - Gender-balanced and age-group-matched (equal number of female/male speakers in every age group)
+  - Support for six different languages to leverage multi-lingual approaches
+  - Original MP3 files plus standard WAVE files
+
+
+### Source Data
+
+Common Phone was derived from Common Voice, revision 7.0. More information can be found on the project's [website](https://commonvoice.mozilla.org/de).
+
+### Annotations [optional]
+
+Common Phone provides automatically generated phonetic annotation with alignment for each spoken text sample.