Common Voice Spontaneous Speech 1.0 - Catalan

Locale: ca

Size: 11.20 MB

Task: ASR

Format: MP3

License: CC-0

català — Catalan (ca)

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 23.0 of the the Mozilla Common Voice Spontaneous Speech dataset for Catalan (ca). The dataset contains 137 clips representing 1 hours of recorded speech (1 hours validated) from 11 speakers.

Demographic information

The dataset includes the following distribution of age and gender.

Gender

Self-declared gender information, frequency refers to the number of clips annotated with this gender.

Age

Self-declared age information, frequency refers to the number of clips annotated with this age band.

Transcriptions

  • Prompts: 57

  • Duration: 2101320[ms]

  • Avg. Transcription Len: 74

  • Avg. Duration: 15.34[s]

  • Valid Duration: 605.95[s]

  • Total hours: 0.58[h]

  • Valid hours: 0.17[h]

Questions

There follows a randomly selected sample of questions used in the corpus.

Tʼinformes de lʼactualitat sense fer servir televisió convencional? Com?
Quin és el teu plat preferit?
Explica alguna tradició de Sant Jordi que trobis especial.
Què significa lʼèxit per a tu?
Què creus que és important per a un bon barri?
Responses

There follows a randomly selected sample of transcribed responses from the corpus.


Els avenços que s'han fet en el camp de la diabetis, eh... on te... cada vegada hi ha sensors per me... mesurar la glucosa en sang, i bombes per a... administrar la insulina, diferents tecnologies que... la veritat és que...  ajuden molt al, al dia a dia del... dels pacients i... i que fa un temps enrere no els ah tenien i és un camp qualitatiu molt gran.
Doncs en els últims anys, la veritat és que viatjo molt menys, perquè trobo que tot s'ha encarit moltíssim, tant l'allotjament com els vols o la gasolina pel cotxe, etcètera. La qual cosa fa que, francament, viatgi potser la meitat del que acostumava a viatjar abans.
Per seguir l'actualitat, normalment utilitzo l'aplicació del 324. De 3cat.

Fields

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

Community links

Contribute

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

  1. For a full list of age, gender, and accent options, see the demograpics spec. These will only be reported if the speaker opted in to provide that information. ↩ ↩2