Loading datasets...
License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 12/5/2025
Format: MP3
Size: 125.94 MB
Share
A collection of spontaneous spoken phrases in Bahasa Malay.
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.
ms-MY)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 Bahasa Malay (ms-MY). The dataset contains 1148 clips representing 7 hours of recorded
speech (6 hours validated) from 23 speakers.
| Split | Count |
|---|---|
| Train | 669 |
| Test | 222 |
| Dev | 241 |
Prompts: 119
Duration: 6:11:21 [h:m:s]
Avg. Transcription Len: 201
Avg. Duration: 19.41[s]
Valid Duration: 20302.02[s]
Total hours: 6.19[h]
Valid hours: 5.64[h]
There follows a randomly selected sample of questions used in the corpus.
Pada pendapat anda, mengapakah langit berwarna biru?
Jika anda boleh mempelajari apa-apa kemahiran, apa yang anda ingin pelajari?
Jelaskan tentang beberapa makanan yang tidak sihat atau yang sebaiknya hanya dimakan sekali-sekala.
Adakah orang yang berbeza umur menggunakan teknologi dengan cara yang berbeza?
Adakah mudah untuk memulakan perniagaan di negara anda?
There follows a randomly selected sample of transcribed responses from the corpus.
Langit berwarna biru adalah disebabkan udara dan juga atmosfera yang terbentuk antara bumi dan juga langit.
Saya selalu ingin mempelajari kemahiran bermain piano ataupun alat-alat muzik yang lain, kerana ianya menguji kecerdasan minda serta koordinasi tangan dan mata.
Makanan-makanan proses seperti sosej, maggi goreng dan segala makanan proses, kerana dia akan memberikan impak yang negatif kepada badan kita.
Orang ataupun GenZ, dan juga GenAlpha dan juga GenY lebih peka akan IT, manakala <noise> boomer dan silent generation tidak peka. Itulah, cara berbeza.
Agak sukar kerana kita perlu memikirkan produk yang baru, Dari segi produk dan idea, ianya agak sukar. Kita perlu berfikiran kreatif untuk membuka sesuatu perniagaan kerana di Malaysia terlalu banyak persaingan dalam sesuatu produk.
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 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