Common Voice Spontaneous Speech 2.0 - Kenyi

Kenyi — Kenyi (lke)

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 Kenyi (lke). The dataset contains 2759 clips representing 13 hours of recorded speech (11 hours validated) from 26 speakers.

Data splits for modelling

Transcriptions

• Prompts: 120

• Duration: 12:46:59 [h:m:s]

• Avg. Transcription Len: 140

• Avg. Duration: 16.68[s]

• Valid Duration: 37253.196[s]

• Total hours: 12.78[h]

• Valid hours: 10.35[h]

Samples

Questions

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

Birime ki ebyolima mu musiri gwo?
Mungeri ki ejensobola okuwona nti omwana wange afuna vitamini ejimala?
Mungeri ki okusoma owekuyambire iwe oba amaka ganyu okufuna ebyetago byanyu?
Bulambi ki obwosobola okuwa amama abakali Baato?
Oliya emilundi imeka olumaku?

Responses

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

Nina omuwogo, duma, maido no omugose
Omuwana wange asobola okufuna evitamin ejimala okuva mukulima emere eyenjaulo kasita nimba anga ndikumuwa emereyenjaulo nadala ebibala angamuwa okukyusiakyusia ebibala biabulingeri niyoyonka aasobola okufuna evitamin ejimala 
Mountu asomere aba na'magezi agamuyamba okola emitendero jamaka nikimusobozesya okufuna obuyambi bwa'bulinaku
Kubakoba kuguma mubufumbo bwabu no kubawa imere nga be musiri nga babula nga balimamu bona emere yabu nebafuna okweyambisiya nga bazaire abaana
Olunaku idyaamu emirundi isatu, ku ina.

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