Common Voice Spontaneous Speech 2.0 - Thur

Thur — Thur (lth)

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 Thur (lth). The dataset contains 3142 clips representing 17 hours of recorded speech (11 hours validated) from 29 speakers.

Data splits for modelling

Transcriptions

• Prompts: 120

• Duration: 16:34:52 [h:m:s]

• Avg. Transcription Len: 153

• Avg. Duration: 19.0[s]

• Valid Duration: 37247.832[s]

• Total hours: 16.58[h]

• Valid hours: 10.35[h]

Samples

Questions

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

Yodhi mënë na jö më pacöni otio gïnï ködë kanya acël më cobo peki na lübërë kï nwongo kwan?
Yoo mënë na kwan ökönyö më jükö can na tïmërë ï paconi ï karë kï karë?
Ngö na pïrë tëk gïnï na mïö ëthïnö twërö nwongo two önwëng pyër? 
Tït kite më tedo cem na in ïmarö rwök?
Karë mënë na dhakö na yac myero öcak cïdhö ï pimërë?

Responses

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

Yodhi më cobo peki na lübërë kï kwan, ënë, nama acël ïcïdhö ökö ï pur, onyo ïtïmö bïacara mörö na kelo nini lïm mörö ï thë caü. Ka dong ïtïmö bïacara nön, dong ïmakö na bër ëk okonyi kï cülö kwan nwongo mïtö ngat na dit ënë obed ï bïacara nön pathï athïn.
Kwan öjükö can kï para karë kï karë nï an ka pëkö mörö ödïa agöö cim both athïn-na pïën amïö athïn-na ökwanö, athïn oro cïlïng ka cülö cukul ölöa aoro jö onyo agöö cim athïn oro cïlïng ömïö ekobo nï kwan kara bër ka onwongo ba ökwanö onwongo nga könya kï cül. 
Ëthïnö twërö nwongo önweng pyër ka cem ba römögï na bër. Nökënë römö bedo nï ëngükö nwongo athïn nön yacö na nwongo ënë pod tye ka döth
Tït kite n'etedo cem na in ïmarö rwök. Cem na an amarö rwök etedo köman, apor mërë töng gwënö eketho möö ï keno ëka erubo töng gwënö na do ëtöö eketho kadö ïë pï dakïka na nönök ka öcëk cë do acamö.
Dhakö na yac myero öcak pimere, tëk ka ën do ögamö ïë, ka do ögamö ïë ökö, do mïö ën tic mërë më woth awotha ï daktar dwe kï dwe na lübërë kï nïnö na nwongo daktar öngölö nïnë nï myero ën öcïdh ëk oripoting më gamö kad.

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