Common Voice Spontaneous Speech 3.0 - Melanau
License:
CC0-1.0
Steward:
Common VoiceTask: ASR
Release Date: 3/20/2026
Format: MP3
Size: 209.11 MB
Share
Description
A collection of spontaneous responses to questions in Melanau (mel).
Specifics
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
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 28 | 1.7% |
| Transcribed & Pending | 1,554 | 95.7% |
| Not transcribed | 42 | 2.6% |
Training splits
| Bucket | Clips | % |
|---|---|---|
| Train | 0 | 0.0% |
| Dev | 0 | 0.0% |
| Test | 0 | 0.0% |
| Unassigned | 1,624 | 100.0% |
Training split coverage: 0 of 28 transcribed & validated clips (0.0%)
Transcriptions
Transcription status
| Bucket | Clips | % |
|---|---|---|
| Validated | 28 | 1.8% |
| Pending | 1,554 | 98.2% |
| Edited | 13 | 0.8% |
Samples
Questions
There follows a randomly selected sample of questions used in the corpus.
Beikah kaau pisak mana-mana alet meuzik?
Dengah jin inou benateang wak paling mudei den nou.
Inou wak newatir nou pasel pebak tepon ?
Inou ji sabjek senuka nou gak sekul jegem minou?
Kubaji awan gak takan kelou diem?
Responses
There follows a randomly selected sample of transcribed responses from the corpus.
*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]. *
*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. *
akou lok bak kerja taban kerajaan kerna kehidupan lebih terjamin, bei gaji pencen, senang bawai pangkat jegum senang nait gaji
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
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 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 5 minutes
Get involved
Community links
Discussions
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
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