Common Voice Spontaneous Speech 1.0 - Sa'ban
License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 9/15/2025
Format: MP3
Size: 212.90 MB
Description
A collection of spontaneous spoken phrases in Sa'ban.
Specifics
Considerations
Restrictions/Special Constraints
You agree that you will not re-host or re-share this dataset
Forbidden Usage
You agree not to attempt to determine the identity of speakers in the Common Voice 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
Saʼban — Sa'ban (snv)
This datasheet is for version 1.0 of the the Mozilla Common Voice Spontaneous Speech dataset
for Sa'ban (snv). The dataset contains 2038 clips representing 11 hours of recorded
speech (1 hours validated) from 30 speakers.
Language
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.
Data splits for modelling
| Split | Count |
|---|---|
| Train | 1407 |
| Test | 337 |
| Dev | 294 |
Transcriptions
Prompts:
120Duration:
37757736[ms]Avg. Transcription Len:
72Avg. Duration:
18.53[s]Valid Duration:
87.88[s]Total hours:
10.49[h]Valid hours:
0.02[h]
Writing system
The Saʼban writing system is based on the Latin alphabet.
Samples
Questions
There follows a randomly selected sample of questions used in the corpus.
Papah dut lun aweng parap nolong lun nok lah’ wan anok?
Kan nan acala ngan irau sinah nok nan lem tak bongma’ ceh mai?
Um minot ceek mai pei’
Madei’ lem ayo’ atol papu’ duktun dong negala ceh
Kedutpah sawai ceh lem ayo’ langoi? Papah?
Responses
There follows a randomly selected sample of transcribed responses from the corpus.
Lem nnau eek aa.. papah duet lem sieu hnai maa ee..teknologi ee… yeh nah menye… menyebar aa..pesanan nok wei yeh nah lem ee… teknologi
mayak budaya tam lem aweng memang err nan err siu siu nok rah on lun err kira pa nan lun papuk err kudut irau krismas ka tahun baru ka err memang err mung lun lem aweng apalagi keluarga memang mei mayak lun mei ngan lun err lem masa nok nonoh dudut ai
Kai sik lem lun nok arok anok malak lem'rang ceh weik arai mrai padeik nok weik ndeh supaya deh weik lek hleu nok on deh malak jadi hleu
Recommended post-processing
The questions use the ’ character, while the responses use the ' character instead. These characters should be treated as equivalent.
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 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
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
