Common Voice Spontaneous Speech 2.0 - snv

Saʼban — Sa'ban (snv)

This datasheet is for version 2.0 of the the Mozilla Common Voice Spontaneous Speech dataset for Sa'ban (snv). The dataset contains 2036 clips representing 11 hours of recorded speech (1 hours validated) from 30 speakers.

Language

Saʼban is an Austronesian language in the Apo Duat subgroup. It is spoken by the Saʼban people and is indigenous to Sarawak, Malaysia and North Kalimantan, Indonesia.

Data splits for modelling

Transcriptions

• Prompts: 120

• Duration: 10:31:15 [h:m:s]

• Avg. Transcription Len: 134

• Avg. Duration: 18.6[s]

• Valid Duration: 87.876[s]

• Total hours: 10.52[h]

• Valid hours: 0.02[h]

Writing system

The Saʼban writing system is based on the Latin alphabet.

Samples

Questions

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

Non ayo’ pit nok ensen lem keja, lem nok on ngan nok ceh wei la’an?
Non na’an lundeu’ mai bunga’ nok pi ceh ennal igu hnai?
Non serangga nok pelabi rah’ lem nan ceh?
Kan nan dei’-dei’ ennyen ngan nok on lun maon an wan nyen anak-anak lem hmung ceh?
Non na’an sorat nok ceh pelu eu parap aro’ matol dong lem negala ceh, mai ngan negala mah’ hreng?

Responses

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

haa masalah sik am emm ek am weik la'an lem kerja kadang kadang arai mei kerja nei sama sama kerja tapi nan lem lun nok aaa macam yeh weik lek lak ngatur ngatur am lak mayak non sik la'an ceh arok ai neh nok mawa' arok arai am weik la'an nan kerja arai ai
pa'au awit ngan bunga aa weik deu 
Enu’ si nan eek pelabi taot ai pang Yu’
Lem lenat amai nai, nan nyien nok nan amai weik anak-anak nyien nyien atau, atau libeu. 
Eek nnau perlu taam la' aro' sorat matoel luen arai contoh ko'duet tam perlu taam wan sorat IC, sorat anak nonoh duet mai aa negara nok ereeng ereeng tam nai la' perlu taam waen sorat.

Recommended post-processing

The questions use the ’ character, while the responses use the ' character instead. These characters should be treated as equivalent.

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