Common Voice Spontaneous Speech 1.0 - Konzo
License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 9/15/2025
Format: MP3
Size: 279.90 MB
Description
A collection of spontaneous spoken phrases in Konzo.
Specifics
Considerations
Restrictions/Special Constraints
You agree that you will not re-host or re-share this dataset
Forbidden Usage
You agree not to attempt to determine the identity of speakers in the Common Voice 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 1.0 of the the Mozilla Common Voice Spontaneous Speech dataset
for Konzo (koo). The dataset contains 3255 clips representing 15 hours of recorded
speech (11 hours validated) from 28 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
| Split | Count |
|---|---|
| Train | 2411 |
| Dev | 362 |
Transcriptions
Prompts:
120Duration:
53805852[ms]Avg. Transcription Len:
93Avg. Duration:
16.53[s]Valid Duration:
36658.98[s]Total hours:
14.95[h]Valid hours:
10.18[h]
Questions
There follows a randomly selected sample of questions used in the corpus.
Nangatheya indi obuyingo bwaghe nʼerihiika lyaghe oko mutsutsa owʼemaleri?
Wukanza erikolha ki omo buthuku bwawu obundi obʼwuthethahingamo ahowukakolera?
Abana balere bakasatha misathu yahi omo kipindi kyenyu?
Nibitsibu byahayi ebyabandu abakulire bakatunga omwa kipindi kyaghu?
Eryigha erisikya lyangakangiriribwa lithi omo miyi nʼomo mathendekero omo Uganda?
Responses
There follows a randomly selected sample of transcribed responses from the corpus.
Ebihendeka ebye rithahya abakali banene muli amalhwa obuholho bukabulha na bana sibalithoka erisoma ekyisomo ekyiwene
Nisinene okwa nguda kandi isyo silhobire omwa beyi kya kyikaleka ithwasikolesya kutsibu kutsibu
Wukayithekathekera erikesya erihumulha, neryo iwimyaaa iwasaba, wukabya iwabiri saba neryo iwakesya. Iwalinda engyakya.
Erisondya emibiri nobuyingo obuwene omu tawuni
Omughulhu ngowa enamalhuha ngathuka erikalha engathuka eriyuhumulya omughulhu ngabya engamayowa engamalhugha nganya amaghethe
Fields
Each row of a tsv file represents a single audio clip, and contains the following information:
client_id- hashed UUID of a given useraudio_id- numeric id for audio fileaudio_file- audio file nameduration_ms- duration of audio in millisecondsprompt_id- numeric id for promptprompt- question for usertranscription- transcription of the audio responsevotes- number of people that who approved a given transcriptage- age of the speaker1gender- gender of the speaker1language- language namesplit- for data modelling, which subset of the data does this clip pertain tochar_per_sec- how many characters of transcription per second of audioquality_tags- some automated assessment of the transcription--audio pair, separated by|transcription-length- character per second under 3 characters per secondspeech-rate- characters per second over 30 characters per secondshort-audio- audio length under 2 secondslong-audio- audio length over 30 seconds
Community links
Contribute
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
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
