Common Voice Spontaneous Speech 1.0 - Mainstream Kenyah

Kenyah — Kenyah (`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 23.0 of the the Mozilla Common Voice Spontaneous Speech dataset for Kenyah (xkl). The dataset contains 1816 clips representing 11 hours of recorded speech (2 hours validated) from 23 speakers.

Demographic information

The dataset includes the following distribution of age and gender.

Gender

Self-declared gender information, frequency refers to the number of clips annotated with this gender.

Age

Self-declared age information, frequency refers to the number of clips annotated with this age band.

Data splits for modelling

Split	Count
Train	1156
Test	317
Dev	343

Transcriptions

Prompts: 120
Duration: 37889424[ms]
Avg. Transcription Len: 181
Avg. Duration: 20.86[s]
Valid Duration: 5204.92[s]
Total hours: 10.52[h]
Valid hours: 1.45[h]

Questions

There follows a randomly selected sample of questions used in the corpus.

Kumbin kimet ko’ pasen tuk masat taket co’? uban inu?
Un ko’ pakai kenderaan mu?
Kumbin layan awang ka’ tana’ uko’ ko’ mudip?
Inu kimet kawa ko’ pasen tuk pakai telefon bimbit udip tau ini?
Kumbin puyan teknologi dalem sekula nggin bang ia’ tiga?

Responses

There follows a randomly selected sample of transcribed responses from the corpus.

pe pekalai [um]  puyan  maung sen ngan amik pa  amik panak dini ku bo' tai mik kawang amik na'at inu ya' ilu le lan ya' ilu perlu le ley alak ya' ilu man sik ya inu ilu re' un perlu dini re' ley ne tai alak.
dalau ini re' kaduk te inu ya ida tulung amik dalau ini odai menang re tapi un sik ca kes na re ya tai ya ca alut [um] lenca sangkit mempam dalau ina re kudak le kudak belas usa tai tai ka'am ne ida re ukuk ban telu na re tai re un
dalem pemuyan perinta peteneng il- ame  kadaya ni janan ia’ [um] be be’un melai sukat un kumbin tuk le ti pengudip ilu janan ja nan ia’ atek [um] ilu perlu ale kedaya te ia’ atek ilu guna ale tei ka daya te janan
[um] teknologi sukat ti me aki di [um] sukat re mudip tiga kulo ja sukat de tai masat kengke kengke sukat nyeng un kerita meka pe [noise] un wifi un kemudahan mung le o- ja ja tuak te kemudahan ke teng ji kulo ida ti me ilu ji
dalem kimet ke asen yak tiga [um] memang ke tai tai kak Europe atau pa Eropah tai kak tanak sengim.  ina yak tiga dalem kimet ce

Fields

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

Community links

Common Voice translators on Pontoon

Contribute

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.

For a full list of age, gender, and accent options, see the demograpics spec. These will only be reported if the speaker opted in to provide that information. ↩ ↩²