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License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 12/5/2025
Format: MP3
Size: 212.06 MB
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A collection of spontaneous spoken phrases in Kenyah.
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.
xkl)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 Kenyah (xkl). The dataset contains 1795 clips representing 11 hours of recorded
speech (2 hours validated) from 23 speakers.
| Split | Count |
|---|---|
| Train | 1221 |
| Test | 277 |
| Dev | 340 |
Prompts: 120
Duration: 10:45:05 [h:m:s]
Avg. Transcription Len: 184
Avg. Duration: 21.56[s]
Valid Duration: 5225.004[s]
Total hours: 10.75[h]
Valid hours: 1.45[h]
There follows a randomly selected sample of questions used in the corpus.
Un kado’ naen sukan, sukan ia’ mbi ko’ manyi naet?
Teknologi ia’ mbi ko’ peketo pakai?
Un saga’ asen atau muzik asen lepo’ kem mu?
Inu ngadan kala ia’ anak-anak dalem lepo’ kem pekala?
Ae’ ia’ tubo leto dia’ menga’ ke nganak dalem lepo’ kem?
There follows a randomly selected sample of transcribed responses from the corpus.
kado kado na’an sukan adang ke manyi na’at dulu main bula la ban na pekina pa main main basketball ngan badminton uban ini ca main ia’ ake biasa main pekina pekina pa ngan takraw suk tisen ia’ kasa kasa main na
Teknologi inu ya selalu pakai memang pengalai ilu pakai teknologi telefon lah senang uban ilu baca berita senang keto keto inu berita ilu lepa tisen bek tusah cin naak kua' cin naak.
sagak asen atau muzik asen lepo me ina na sagak lasan ngan muzik sape
[unclear] ngadan anak dalem lepo tapi lu tisen tisen sik udip anak nak ki talipon ja le ke te ke tuya tuya ta’en
[um] tubo tubo di ida ida de jaga anak kulu ja keja [unclear] to ngan pesak me laki le dan sik keja de ti umah te. nam pa ida ti umah ngan du na meka pe [um] iu toh tai pa ida idi ngan du ja jagak jagak ngan du iu de tiga ida ti ngan du te
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