Common Voice Spontaneous Speech 2.0 - Konzo

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License:

CC0-1.0

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Steward:

Common Voice

Task: ASR

Release Date: 12/5/2025

Format: MP3

Size: 279.57 MB


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Description

A collection of spontaneous spoken phrases in Konzo.

Considerations

Forbidden Usage

It is forbidden to attempt to determine the identity of speakers in the common Voice datasets. It is forbidden to re-host or re-share this dataset

Processes

Intended Use

This dataset is intended to be used for training and evaluating automatic speech recognition (ASR) models. It may also be used for applications relating to computer-aided language learning (CALL) and language or heritage revitalisation.

Metadata

Konzo — Konzo (koo)

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 Konzo (koo). The dataset contains 3240 clips representing 16 hours of recorded speech (11 hours validated) from 28 speakers.

Data splits for modelling

SplitCount
Train1486
Test353
Dev427

Transcriptions

  • Prompts: 120

  • Duration: 15:02:59 [h:m:s]

  • Avg. Transcription Len: 135

  • Avg. Duration: 16.72[s]

  • Valid Duration: 37032.804[s]

  • Total hours: 15.05[h]

  • Valid hours: 10.29[h]

Samples

Questions

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

Ekyangaleka ithwasikya ebindu ebyʼabikalhani bethu omo malhambo niki?
Omwebembethya atholere inyakolha ki omo bulhambo mwamabaniki ekitsibu?
Mukakolesaya byuma ki omo bulime?
Ababuthi bangakolha ki eritheya abana babo abalengwa erithendibya omo bitsindikano ebyʼabandi balengwa ebibi?
Thwangasikya thuthi abandu bakulhu omo malhambo ethu?
Responses

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

Erisikya ebindu byabikalani bethu omomalambo wethu nikighuma okobuyirinde Kandi  nikighuma okwa ngulhakulana  yobutaka nobulambu bwethu.
Atholere inyakolha engulhakulhana omwa bulhambo neriletha  obuholho omwa bulhambo neribugha ndeke nabattaka bomubulhambo obwo
Thukakolesaya esisuka ebi panga nemihamba omubulime bwethu
Ababuthi batholere ibakangirirya abanababo ebibi ebikalhwa omobikolhwa ebibi Kandi neri bathanga erikolha ebikorya ebibi omobulhambo bwethu
Thuuka basikaya ithu kakolha ebya bakathuhabulhamu kandi ithwa lhangiri ndi obuli Kya bakabugha kyihikerere kandi kyikathuhimba

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

Contribute

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