Common Voice Spontaneous Speech 2.0 - 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 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.

Data splits for modelling

Transcriptions

• 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]

Samples

Questions

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?

Responses

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

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

Get involved!

Community links

• Common Voice translators on Pontoon

Contribute

• Contribute questions

• Validate questions

• Answer questions

• Transcribe recordings

• Validate transcriptions

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

1. 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