Common Voice Spontaneous Speech 3.0 - Melanau

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License:

CC0-1.0

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Steward:

Common Voice

Task: ASR

Release Date: 3/20/2026

Format: MP3

Size: 209.11 MB


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Description

A collection of spontaneous responses to questions in Melanau (mel).

Specifics

Licensing

Creative Commons Zero v1.0 Universal (CC0-1.0)

https://spdx.org/licenses/CC0-1.0.html

Considerations

Restrictions/Special Constraints

None provided.

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

mel — Melanau (mel)

This datasheet is for sps-corpus-3.0-2026-03-09 of the Mozilla Common Voice Spontaneous Speech dataset for Melanau [mel - mel]. The dataset contains 1624 clips representing 10.32 hours of recorded speech (0.15 hours validated) from 35 speakers.

Data splits for modelling

The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.

Audio clips

BucketClips%
Transcribed & Validated281.7%
Transcribed & Pending1,55495.7%
Not transcribed422.6%

Training splits

BucketClips%
Train00.0%
Dev00.0%
Test00.0%
Unassigned1,624100.0%

Training split coverage: 0 of 28 transcribed & validated clips (0.0%)

Transcriptions

Transcription status

BucketClips%
Validated281.8%
Pending1,55498.2%
Edited130.8%

Samples

Questions

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

  1. Beikah kaau pisak mana-mana alet meuzik?

  2. Dengah jin inou benateang wak paling mudei den nou.

  3. Inou wak newatir nou pasel pebak tepon ?

  4. Inou ji sabjek senuka nou gak sekul jegem minou?

  5. Kubaji awan gak takan kelou diem?

Responses

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

  1. *Artis wak senuka atau a tukeang dagen liko wak teniman kou ien lah ..[unclear]..[pause]..siyen ...[pause]....walau puon siyen dagen masalah siyen da bei pernah mesek dirik siyen.... [pause]... kalah buyak keadaan siyen sentiasa lok bak mekat ....[pause]... lok bak mekat bak....[pause]. *

  2. *Cabaran sama ji gak likou louyen bak mekeang bisnes. Sama ji a kek ndabei mapun ataupun bareng yen idak angai a pejaja, jadi a kek ndalok mapun atau bareng yen mahal angai. Jadi pun a kureang mapunlah ataupun samalah kuwihlah ndabei diyak nyam nejaja nou, sai bak melei. *

  3. akou lok bak kerja taban kerajaan kerna kehidupan lebih terjamin, bei gaji pencen, senang bawai pangkat jegum senang nait gaji

  4. Cuaca wak debei diyak dagen negara melou itou. Kadeng-kadeng lasuk lebeh lalu sapai 40 lebeh. Apabila ujan, bungaih laei melou tapak pangailah tan. Teloupun nda taao inou hal tan yen

  5. Wak nebangga kou, samalah mun likou ngak maju, sai nda bangga. Pendapatan loyen diyak. Jadi aneak telou bak pinyeang kereja pun seneng. Mestilah telou bak membangga wak gejiyen bukan wak pepereng inou ji , wak yen ji bak nebangga telou. Likou kek pepereng telou susah payah bak minou loyen kawak. Ndabei guna yen ndabei asil yen.

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 5 minutes

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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