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License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 12/5/2025
Format: MP3
Size: 212.72 MB
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A collection of spontaneous spoken phrases in snv.
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.
snv)This datasheet is for version 2.0 of the the Mozilla Common Voice Spontaneous Speech dataset
for Sa'ban (snv). The dataset contains 2036 clips representing 11 hours of recorded
speech (1 hours validated) from 30 speakers.
Saʼban is an Austronesian language in the Apo Duat subgroup. It is spoken by the Saʼban people and is indigenous to Sarawak, Malaysia and North Kalimantan, Indonesia.
| Split | Count |
|---|---|
| Train | 506 |
| Test | 349 |
| Dev | 258 |
Prompts: 120
Duration: 10:31:15 [h:m:s]
Avg. Transcription Len: 134
Avg. Duration: 18.6[s]
Valid Duration: 87.876[s]
Total hours: 10.52[h]
Valid hours: 0.02[h]
The Saʼban writing system is based on the Latin alphabet.
There follows a randomly selected sample of questions used in the corpus.
Non ayo’ pit nok ensen lem keja, lem nok on ngan nok ceh wei la’an?
Non na’an lundeu’ mai bunga’ nok pi ceh ennal igu hnai?
Non serangga nok pelabi rah’ lem nan ceh?
Kan nan dei’-dei’ ennyen ngan nok on lun maon an wan nyen anak-anak lem hmung ceh?
Non na’an sorat nok ceh pelu eu parap aro’ matol dong lem negala ceh, mai ngan negala mah’ hreng?
There follows a randomly selected sample of transcribed responses from the corpus.
haa masalah sik am emm ek am weik la'an lem kerja kadang kadang arai mei kerja nei sama sama kerja tapi nan lem lun nok aaa macam yeh weik lek lak ngatur ngatur am lak mayak non sik la'an ceh arok ai neh nok mawa' arok arai am weik la'an nan kerja arai ai
pa'au awit ngan bunga aa weik deu
Enu’ si nan eek pelabi taot ai pang Yu’
Lem lenat amai nai, nan nyien nok nan amai weik anak-anak nyien nyien atau, atau libeu.
Eek nnau perlu taam la' aro' sorat matoel luen arai contoh ko'duet tam perlu taam wan sorat IC, sorat anak nonoh duet mai aa negara nok ereeng ereeng tam nai la' perlu taam waen sorat.
The questions use the ’ character, while the responses use the ' character instead. These characters should be treated as equivalent.
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