Common Voice Spontaneous Speech 1.0 - Aragonese
License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 9/15/2025
Format: MP3
Size: 2.20 MB
Description
A collection of spontaneous spoken phrases in Aragonese.
Specifics
Considerations
Restrictions/Special Constraints
You agree that you will not re-host or re-share this dataset
Forbidden Usage
You agree not to attempt to determine the identity of speakers in the Common Voice 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 1.0 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:
395352[ms]Avg. Transcription Len:
233Avg. Duration:
20.81[s]Valid Duration:
395.35[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.
Cuál d'os quefers de casa t'agrada menos?
Qué remedios emplegas cuan yes resfriau?
Ta dó te faría goyo d'ir de viache?
Qué tecnolochía te preocupa mas?
Qué querrías fer pa trobar-te millor?
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.
Pa trobar-me millor, m'aganaría caminar más y estar menos andalosa, no meter la carga debant de los machos siempre.
En lo nuestro lugar las casas antis mas se feban de solo piedra, con parets muit recias d'hasta ochenta centimetros y tasament heban cimientos, asinas que... las parets yeran parets de carga... Los pisos s'aposentaban en buenas bigas trabes de madera, tamién lo tellau. Y las las tellas yeran de charco marrón, no yeran pizarra, yeran feitas de charco marrón y cocidas y lo monyo... pa sojetar-las s'apoyaba en las latas. Las latas yeran listonez finos que se clavaban d'una trabeta a l'atra.
Tasament me refrío pero si lo i so, beber muita agua y tomar bel paracetamol.
L'orache en lo mío lugar habría que estar como l'orache de lo mont en lo Pirineu: muito frío y muita nieu en himbierno; primaveras, bien de agua, aire, y verdes; veranos de muito calor de manyanas y fresco cuando se caye lo sol, y frío de noches y de madrugada; y las santmigaladas, con muita airera... pero ixas estacions ya se'n son perdidas.
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
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
