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License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 12/5/2025
Format: MP3
Size: 208.47 MB
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A collection of spontaneous spoken phrases in Melanau.
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
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.
mel)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 Central Melanau (mel). The dataset contains 1624 clips representing 11 hours of recorded
speech (1 hours validated) from 35 speakers.
| Split | Count |
|---|---|
| Train | 1074 |
| Test | 239 |
| Dev | 349 |
Prompts: 120
Duration: 10:46:53 [h:m:s]
Avg. Transcription Len: 205
Avg. Duration: 23.9[s]
Valid Duration: 586.044[s]
Total hours: 10.78[h]
Valid hours: 0.16[h]
There follows a randomly selected sample of questions used in the corpus.
Dengah memin aktibiti atau projek kreatip wak penah kenereja nou.
Beikah dagem maseraket nou subet inou-inou bengesa isak menari atau muziek tradisional?
Kalai selalu kaau pebak henpon?
Kubaji kaau pinyeang servis loyer gak negara kelou?
Kubatan kaau menjaga badan jegem kesihatan nou?
There follows a randomly selected sample of transcribed responses from the corpus.
. Projek …[unclear]… wak penah kenerja kou manyam bakul, manyam pan, diyak ji den mata manyam pan
Dagen maseraket kou bei a subet a isak menari ataupuun musik tradisional sebap loyen a tuhut ataupuun subet musik tradisional mengikut wak dana
akou da kawak selalu agai pebak handpon, mun bei a telepon akou pebak, mun dabei akou pegui membaca wak whatsap piteng sakai kou gak dagen group ien
Bak penyieng service lawyer gak likou melo ajau google un bei lubeng google lawyer-lawyer gak negara melo debai payah bak penyieng gan-gan agie tenelepon un,saudara mara pun bei jadi lawyer ajau.
Akou menjaga badan jegem kesihatan kou, akou senaman jegem akou mengaturkan a makanan kou, makanan wak sihat jegem kak idak angai keman wak temih jegem masin,
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
This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.
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.
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