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Task: ASR
Release Date: 12/5/2025
Format: MP3
Size: 25.04 MB
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A collection of spontaneous spoken phrases in French.
Forbidden Usage
It is forbidden to attempt to determine the identity of speakers in the common Voice datasets. It is forbidden to re-host or re-share this dataset
Intended Use
This dataset is intended to be used for training and evaluating automatic speech recognition (ASR) models. It may also be used for applications relating to computer-aided language learning (CALL) and language or heritage revitalisation.
fr)This datasheet is for version 2.0 of the the Mozilla Common Voice Spontaneous Speech dataset
for French (fr). The dataset contains 346 clips representing 2 hours of recorded
speech (1 hours validated) from 37 speakers.
French is a Romance language. It is the official language of 26 countries and is spoken across around 50 countries.
Prompts: 128
Duration: 1:20:23 [h:m:s]
Avg. Transcription Len: 170
Avg. Duration: 13.94[s]
Valid Duration: 2103.948[s]
Total hours: 1.34[h]
Valid hours: 0.58[h]
The French language uses the 26 letters of the Latin alphabet with the addition of two ligatures (æ, œ) and five diacritics.
a à â æ b c ç d e é è ê ë f g h i î ï j k l m n ô œ p q r s t u ù û ü v w x y ÿ z
There follows a randomly selected sample of questions used in the corpus.
Quand vous étiez enfant, que vouliez-vous être quand vous seriez grand ?
Pourquoi pensez-vous que le ciel est bleu ?
Votre famille suit-elle un budget strict ?
Dans votre culture, qui prend soin des personnes en fin de vie ?
Quel est le plus gros insecte dans votre région ?
There follows a randomly selected sample of transcribed responses from the corpus.
Tout petit je rêvais d'être paléontologue.
Franchement, aucune idée.
Pas du tout, pas du tout, pas du tout.
Dans ma culture, la plupart du temps, les personnes en fin de vie sont prises en charge à l'hôpital, mais si elles ont de la chance, il y a un service de soins palliatifs pour leur donner des soins afin qu'elles ne souffrent pas mais le plus souvent, malheureusement, elles sont à l'hôpital, elles souffrent ou alors elles meurent seules à la maison
Alors je ne sais pas si c'est le plus gros insecte de ma région mais ici nous avons beaucoup de cigales.
The transcripts contain two different apostrophes, ’ and ', which should be normalized.
Each row of a tsv file represents a single audio clip, and contains the following information:
client_id - hashed UUID of a given user
audio_id - numeric id for audio file
audio_file - audio file name
duration_ms - duration of audio in milliseconds
prompt_id - numeric id for prompt
prompt - question for user
transcription - transcription of the audio response
votes - number of people that who approved a given transcript
age - age of the speaker1
gender - gender of the speaker1
language - language name
split - for data modelling, which subset of the data does this clip pertain to
char_per_sec - how many characters of transcription per second of audio
quality_tags - some automated assessment of the transcription--audio pair, separated by |
transcription-length - character per second under 3 characters per second
speech-rate - characters per second over 30 characters per second
short-audio - audio length under 2 seconds
long-audio - audio length over 30 seconds
This dataset is released under the Creative Commons Zero (CC-0) licence. By downloading this data you agree to not determine the identity of speakers in the dataset.
For a full list of age, gender, and accent options, see the demographics spec. These will only be reported if the speaker opted in to provide that information. ↩ ↩2