CommonLanguage

CommonLanguage Dataset This dataset is composed of speech recordings from of 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 is already balanced and split into train,...

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Bibliographic Details
Main Authors: Ganesh Sinisetty, Pavlo Ruban, Oleksandr Dymov, Mirco Ravanelli
Format: Dataset
Language:unknown
Published: 2021
Subjects:
Online Access:https://zenodo.org/record/5036977
https://doi.org/10.5281/zenodo.5036977
Description
Summary:CommonLanguage Dataset This dataset is composed of speech recordings from of 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 is already balanced and split into train, dev (validation) and test sets. The dataset has been extracted from CommonVoice to train easily language-id systems. The baselines for language-id are available in the SpeechBrain toolkit (see recipes/CommonLanguage): https://github.com/speechbrain/speechbrain Statistics of CommonLanguage: | 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 | ## List of languages: * 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 * Mangolian * Persian * Polish * Portuguese * Romanian * Romansh_Sursilvan * Russian * Sakha * Slovenian * Spanish * Swedish * Tamil * Tatar * Turkish * Ukranian * Welsh ## Other information In addition to the language label, the datapoints have `age`, `gender` and `utterance transcription` associated with each utterance.