Common Voice Spontaneous Speech 2.0 - Aragonese
License:
CC0-1.0
Steward:
Common VoiceTask: ASR
Release Date: 12/5/2025
Format: MP3
Size: 2.24 MB
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Description
A collection of spontaneous spoken phrases in Aragonese.
Specifics
Considerations
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
Processes
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.
Metadata
Aragonés — Aragonese (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.
Language
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.
Transcriptions
Prompts:
19Duration:
0:06:35 [h:m:s]Avg. Transcription Len:
234Avg. Duration:
20.81[s]Valid Duration:
395.352[s]Total hours:
0.11[h]Valid hours:
0.11[h]
Writing system
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).
Samples
Questions
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?
Responses
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.
Fields
Each row of a tsv file represents a single audio clip, and contains the following information:
client_id- hashed UUID of a given useraudio_id- numeric id for audio fileaudio_file- audio file nameduration_ms- duration of audio in millisecondsprompt_id- numeric id for promptprompt- question for usertranscription- transcription of the audio responsevotes- number of people that who approved a given transcriptage- age of the speaker1gender- gender of the speaker1language- language namesplit- for data modelling, which subset of the data does this clip pertain tochar_per_sec- how many characters of transcription per second of audioquality_tags- some automated assessment of the transcription--audio pair, separated by|transcription-length- character per second under 3 characters per secondspeech-rate- characters per second over 30 characters per secondshort-audio- audio length under 2 secondslong-audio- audio length over 30 seconds
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Community links
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Acknowledgements
Datasheet authors
Juan Pablo Martínez <juanpabl@gmail.com>
Funding
This dataset was partially funded by the Open Multilingual Speech Fund.
Licence
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.
Footnotes
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