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License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 12/5/2025
Format: MP3
Size: 638.75 KB
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A collection of spontaneous spoken phrases in Spanish.
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.
es)This datasheet has been generated automatically, we would love to include more information, if you would like to help out, get in touch!
This datasheet is for version 2.0 of the the Mozilla Common Voice Spontaneous Speech dataset
for Spanish (es). The dataset contains 12 clips representing 1 hours of recorded
speech (1 hours validated) from 3 speakers.
Prompts: 12
Duration: 0:01:50 [h:m:s]
Avg. Transcription Len: 98
Avg. Duration: 9.25[s]
Valid Duration: 105.804[s]
Total hours: 0.03[h]
Valid hours: 0.03[h]
There follows a randomly selected sample of questions used in the corpus.
¿Por qué te gusta más el frío o el calor?
¿Qué hace normalmente la gente en donde vives los domingos?
¿Qué juegan los niños usualmente en tu región?
¿Qué hace usualmente la gente en la noche antes de dormir?
¿Puedes nombrar algunos alimentos nutritivos?
There follows a randomly selected sample of transcribed responses from the corpus.
Yo, por lo menos, prefiero el frío, porque… Cuando hace calor uno no puede seguir sacándose la piel. En cambio, cuando uno tiene frío sí puede seguir poniéndose ropa. Y además, el frío… Estéticamente… La ropa que se usa cuando hace frío es bastante superior a la que se usa cuando hacer calor.
Realmente los domingos la gente se junta en familia a comer pasta o asado.
Y por mi región, normalmente, los niños juegan al fútbol.
Lavarse los dientes.
Espinaca, acelga, zanahoria, carnes rojas…
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