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Dataset Card for common_language
Dataset Summary
This dataset is composed of speech recordings from languages that were carefully selected from the CommonVoice database. The total duration of audio recordings is 45.1 hours (i.e., 1 hour of material for each language). The dataset has been extracted from CommonVoice to train language-id systems.
Supported Tasks and Leaderboards
The baselines for language-id are available in the SpeechBrain toolkit (see recipes/CommonLanguage): https://github.com/speechbrain/speechbrain
Languages
List of included language:
Arabic, Basque, Breton, Catalan, Chinese_China, Chinese_Hongkong, Chinese_Taiwan, Chuvash, Czech, Dhivehi, Dutch, English, Esperanto, Estonian, French, Frisian, Georgian, German, Greek, Hakha_Chin, Indonesian, Interlingua, Italian, Japanese, Kabyle, Kinyarwanda, Kyrgyz, Latvian, Maltese, Mongolian, Persian, Polish, Portuguese, Romanian, Romansh_Sursilvan, Russian, Sakha, Slovenian, Spanish, Swedish, Tamil, Tatar, Turkish, Ukranian, Welsh
Dataset Structure
Data Instances
A typical data point comprises the path to the audio file, and its label language. Additional fields include age, client_id, gender and sentence.
{
'client_id': 'itln_trn_sp_175',
'path': '/path/common_voice_kpd/Italian/train/itln_trn_sp_175/common_voice_it_18279446.wav',
'sentence': 'Con gli studenti è leggermente simile.',
'age': 'not_defined',
'gender': 'not_defined',
'language': 22
}
Data Fields
client_id (string): An id for which client (voice) made the recording
path (string): The path to the audio file
language (ClassLabel): The language of the recording (see the Languages section above)
sentence (string): The sentence the user was prompted to speak
age (string): The age of the speaker.
gender (string): The gender of the speaker
Data Splits
The dataset is already balanced and split into train, dev (validation) and test sets.
| Name | Train | Dev | Test |
|---|---|---|---|
| # of utterances | 177552 | 47104 | 47704 |
| # unique speakers | 11189 | 1297 | 1322 |
| Total duration, hr | 30.04 | 7.53 | 7.53 |
| Min duration, sec | 0.86 | 0.98 | 0.89 |
| Mean duration, sec | 4.87 | 4.61 | 4.55 |
| Max duration, sec | 21.72 | 105.67 | 29.83 |
| Duration per language, min | ~40 | ~10 | ~10 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
The dataset consists of people who have donated their voice online. You agree to not attempt to determine the identity of speakers in the Common Voice dataset.
Considerations for Using the Data
Social Impact of Dataset
The dataset consists of people who have donated their voice online. You agree to not attempt to determine the identity of speakers in the Common Voice dataset.
Discussion of Biases
Other Known Limitations
The Mongolian and Ukrainian languages are spelled as "Mangolian" and "Ukranian" in this version of the dataset.
Additional Information
Dataset Curators
Licensing Information
Citation Information
@dataset{ganesh_sinisetty_2021_5036977,
author = {Ganesh Sinisetty and
Pavlo Ruban and
Oleksandr Dymov and
Mirco Ravanelli},
title = {CommonLanguage},
month = jun,
year = 2021,
publisher = {Zenodo},
version = {0.1},
doi = {10.5281/zenodo.5036977},
url = {https://doi.org/10.5281/zenodo.5036977}
}
Contributions
Thanks to @anton-l for adding this dataset.
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