Common Voice Spontaneous Speech 2.0 - Sabah Bisaya

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License:

CC0-1.0

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Steward:

Common Voice

Task: ASR

Release Date: 12/5/2025

Format: MP3

Size: 219.99 MB


Description

A collection of spontaneous spoken phrases in Sabah Bisaya.

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

Sabah Bisaya — Sabah Bisaya (bsy)

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 Sabah Bisaya (bsy). The dataset contains 1741 clips representing 12 hours of recorded speech (0 hours validated) from 25 speakers.

Data splits for modelling

SplitCount
Train1131
Test381
Dev349

Transcriptions

  • Prompts: 120

  • Duration: 11:32:51 [h:m:s]

  • Avg. Transcription Len: 223

  • Avg. Duration: 23.88[s]

  • Valid Duration: 0.0[s]

  • Total hours: 11.55[h]

  • Valid hours: 0.0[h]

Samples

Questions

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

Nunu sarangga' / raramu paling makalu antad da yanan asal mu?
Nunu pata' perkhidmatan awam yang ikou pikir panting da mana-mana' pogun?
Nunu  idayat itaak mu da rumo yang mosodu' da walainyo jangan nakagondom da kaluarganyo?
Yombo' yanan mu muwot bila aru watan mu pasal panyakit?
Nunu pandapat mu pasal paidah jangan risiko mamakai da teknologi?
Responses

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

Seranggaa [um] iyor-iyor kali [um]. [um] iyor-iyor ti makagia motomong maramai gianyo kan daintuong oku rasa iyor-iyorlah. [um] Serangga makalu makagia maramai.
Bagi' dijok parkhidmatan awam tontu'yo [um] tontu'nyo line talipon atau pun buli tokou makapanalipon da rumo-rumo servis line lah.
Kalau mosodu keluarga ji jiran untuk masa dapan keluarga dan jiran untuk masa dapan sendirilah walaupun mosodu da keluarga tapi pikirkan pikironunu yang panting untuk mengubah masa dapan keluarga. 
Biasa'-biasa'nyo kalau da kampung-kampung tokou salalu' muwot da mututuo mututuo laidlah [um] matutuo-matutuo yang  bar makaumur-umur bino ino kalau da kampung tapi biasa'nya toku sakarang ti mimang kalau tokou muwot mimang mongoi da klinik kah mongoi da hospitalkah yan tokou muwot.  
Pandapat ku mudah oni kalau tokou mamakai da teknologi ti mapandai mamakai tokou akan mendapat [um] kemudahan kebaikan tapi kalau tokou salah guna pakai da teknologi ti mendatangkan da kamudaratan da tokou sendiri dan keluarga tokou lah.

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

Get involved!

Community links

Contribute

Acknowledgements

Funding

This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.

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 demographics spec. These will only be reported if the speaker opted in to provide that information. 2