https://github.com/ogeni/bvc_challenging_voice_set
A database of challenging voice utterances collected by the Biometrics Vision and Computing (BVC) group.
https://github.com/ogeni/bvc_challenging_voice_set
age-from-voice gender-from-voice speech-classification speech-recognition speech-to-text speech-translation voice voice-age voice-biometrics voice-data voice-dataset voice-datasets voice-detection voice-gender voice-recognition
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A database of challenging voice utterances collected by the Biometrics Vision and Computing (BVC) group.
- Host: GitHub
- URL: https://github.com/ogeni/bvc_challenging_voice_set
- Owner: OgeNI
- Created: 2025-03-27T16:38:26.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-27T16:53:07.000Z (about 1 year ago)
- Last Synced: 2025-06-08T03:29:14.223Z (about 1 year ago)
- Topics: age-from-voice, gender-from-voice, speech-classification, speech-recognition, speech-to-text, speech-translation, voice, voice-age, voice-biometrics, voice-data, voice-dataset, voice-datasets, voice-detection, voice-gender, voice-recognition
- Homepage: https://github.com/OgeNI/BVC_Challenging_Voice_Set
- Size: 5.86 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# BVC_Challenging_Voice_Set
A database of challenging voice utterances collected by the Biometrics Vision and Computing (BVC) group.
## Note: Read first!!
The voice dataset is not available for cloning. Please request for the dataset via email.
## About BVC Gender & Age from Voice Challenging Dataset
The Biometrics Visions and Computing (BVC) Gender & Age from voice dataset comprises voice utterances from 526 individuals at one to five voice recordings per individual, of which 336 are males and 190 are females.
It is a challenging and noisy dataset that requires filtering of some white noise present in all the voice samples.
## Content
The total number of voice utterances are 3,964 consisting of 2,149 male and 1,815 female voice utterances. Five different speeches of English and the equivalent translated native languages were acquired from the subjects in the first and second sessions. One to five voice recordings in English language and Native languages were acquired from each of the subjects. Twenty-eight (28) different native languages make up the native language set.
## Acknowledgements / Citation for the BVC Challenging Voice dataset
When the BVC Voice dataset is used in any form of research, please the following paper should be cited:
{ O. Iloanusi, U. Ejiogu, I. Okoye, I. J. F. Ezika, S. Ezichi, C. Osuagwu and E. Ejiogu, “Voice Recognition and Gender Classification in the Context of Native Languages and Lingua Franca,” in the 6th IEEE International Conference on Soft Computing & Machine Intelligence (ISCMI), Johannesburg, South Africa, November 19-20, 2019, pp. 175–179. https://ieeexplore.ieee.org/document/9004306 }
## More Information on the BVC Challenging Voice Set
The total number of subjects with complete information in the BVC voice data collection are 526, of which 336 are males and 190 are females.
The total number of voice utterances are 3,964 consisting of 2,149 male and 1,815 female voice utterances.
Five different speeches of English and the equivalent translated native languages were acquired from the subjects in the first and second sessions.
One to five voice recordings in English language and Native languages were acquired from each of the subjects. Twenty-eight (28) different native languages make up the native language set.
## Request for Datasets
Send your request for our face and body datasets to Ogechukwu.iloanusi@unn.edu.ng or info@biometricsvision.com