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---
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://arxiv.org/abs/2201.05912), 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
Common Phone provides automatically generated phonetic annotation with alignment for each spoken text sample. |