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License:
CC0-1.0
Steward:
Common VoiceDataset ID:
cmj6wk18x000dnlmsjsl9z2ne
Release Date: 12/5/2025
Format: MP3
Size: 2.24 MB
A collection of spontaneous spoken phrases in Aragonese.
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.
an)This datasheet is for version 2.0 of the the Mozilla Common Voice Spontaneous Speech dataset
for Aragonese (an). The dataset contains 19 clips representing 1 hours of recorded
speech (1 hours validated) from 1 speakers.
Aragonese is a Romance language spoken in several dialects by about 8,000—12,000 people in the northern areas of Aragon, Spain, primarily in the counties of Chacetania, Alto Galligo, Sobrarbe and Ribagorza. The language vitality status is Endangered according to https://www.ethnologue.com/language/arg/. At the moment, Spanish influences the native speakers, which may cause code mixing in a spontaneous speech.
Prompts: 19
Duration: 0:06:35 [h:m:s]
Avg. Transcription Len: 234
Avg. Duration: 20.81[s]
Valid Duration: 395.352[s]
Total hours: 0.11[h]
Valid hours: 0.11[h]
In 2023, the Academia Aragonesa de la Lengua, a public institution created as language regulatory body, established the Orthography of Aragonese as the official spelling for the language. The spelling system is flexible enough to allow writing all Aragonese varieties. All the transcriptions have been done using the official orthography (using Spanish spelling when words of this language were intercalated in the speech).
There follows a randomly selected sample of questions used in the corpus.
Qué pescau se mincha mas en casa vuestra?
Qué te fa goyo d'a tuya parella?
Cuál d'os quefers de casa t'agrada menos?
Si tiens bella preocupación de salut, a quí li preguntas?
Cómo se vestiban los hombres d'antes mas?
There follows a randomly selected sample of transcribed responses from the corpus.
Como vivimos en un lugar chicorrón y no bi ha pescadería, lo pescau que mas se mincha ye la merluza conchelada. Fresco, lo que mas goyo nos fa ye la dorada, la lubina, y lo millor d'el mundo ye lo abadeixo salau.
Lo suyo buen humor y la fuerza que ha pa fer-li cara y plantar-li cara a la vida, que li ha tocau muito.
De los quefers de casa solo me fa goyo la cocina, cocinar. Todo lo demás me fa muito fastio.
Gracias a Dios de momento he buena salut y no so muit aprehensiva. Vo ta lo medico tasament una vez a l'anyo. Y si me noto bella cosa rara, he una ermana enfermera que... si li da la gana me contesta, y si no, me manda a paseo.
Los hombres fa mas de cient anyos vistiban de calzón. Pantalón por los chenullos, medias, peducos, pealetas y abarcas; camisa, chaleco y chibón; y en lo tozuelo, cachirulo y sombrero de Sástago. Heba que haber bien a... buena garra pa pa que lis cayesen bien las medias y, por supuesto la faixa, rodiando rodiando-lis la cintura y tapando-lis tamién lo la culera, que la empleaban tamién de de faldriquera.
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
Juan Pablo Martínez <[email protected]>
This dataset was partially funded by the Open Multilingual Speech Fund.
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