Common Voice Spontaneous Speech 1.0 - Bukar-Sadung Bidayuh

Serian Bidayuh — Serian Bidayuh (sdo)

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 Serian Bidayuh (sdo). The dataset contains 1420 clips representing 10 hours of recorded speech (2 hours validated) from 25 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

Transcriptions

• Prompts: 119

• Duration: 36132408[ms]

• Avg. Transcription Len: 237

• Avg. Duration: 25.45[s]

• Valid Duration: 4847.4[s]

• Total hours: 10.04[h]

• Valid hours: 1.35[h]

Questions

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

Asih da patut amu nyiken neh kan amu adeh pinyiken mu pasal andam?
Anih servis da paling biguna da komuniti kinde?
Senangkah ngundah bisnes da negara kinde?
Kan amu ira bilajar skil, anih da ira amu bilajar neh?
Anih sabjek da suka amu masa sikulah?

Responses

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

Aye aku adeh nyalan muto tinan aku panu kerja tinan aku panu panu dangan muto en amatlah penting tinan adep pergerakan adep da anu anu
Cuaca da negara ami ti [um] kaik ne birubah sentiasa [um] pares dangan lembab la [um] sepanjang sawa meng sien lagih cuaca da tempat ami ti paguh raye la [um] dangan cuaca siti memudahkan ami [um] ngundah macam macam kayuh lah.
Mung pimaan da sihat da kaii sihat ti kita panai-panai milih lah. Mung pimaan da kaii sihat ti contoh nuh aba maan kayuh da segera-segera aaa itin nuh lah semua segera pimaan pinyehup da segera elakkan maan da segera,dengan mung se lagih bala umon-umon gas sien memang elak lah. Mung bala nugget rang se aaa memang aba maan nuh lah.
[um] buat sementara iti kita mesti bilajar menabung dangan cuba meh en meh mina mirih barang da perlu saja da masa iti
Kayuh da narap kuk, [um] pasal bala anak anak kuk, deg masa depan, ku harap ne, ne jadi anak da paguh, da irak kidingah sanda amang ayang. Da hormat amang ayang ne. Mbuh sien kai [um] kai ne ngajah inya da bi'ek biek, ngundah kayuh da kai patut.

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

• Contribute questions

• Validate questions

• Answer questions

• Transcribe recordings

• Validate transcriptions

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 demograpics spec. These will only be reported if the speaker opted in to provide that information. ↩ ↩²