Salihs, SA;
Wiafe, I;
Abdulai, JD;
Atsakpo, ED;
Ayoka, G;
Cave, R;
Ekpezu, AO;
... Winful, FBP; + view all
(2025)
A Cookbook for Community-driven Data Collection of Impaired Speech in Low-Resource Languages.
In:
Proceedings of the Annual Conference of the International Speech Communication Association Interspeech.
(pp. pp. 4623-4627).
ISCA
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Abstract
This study presents an approach for collecting speech samples to build Automatic Speech Recognition (ASR) models for impaired speech, particularly, low-resource languages. It aims to democratize ASR technology and data collection by developing a "cookbook" of best practices and training for community-driven data collection and ASR model building. As a proof-of-concept, this study curated the first open-source dataset of impaired speech in Akan: a widely spoken indigenous language in Ghana. The study involved participants from diverse backgrounds with speech impairments. The resulting dataset, along with the cookbook and open-source tools, are publicly available to enable researchers and practitioners to create inclusive ASR technologies tailored to the unique needs of speech impaired individuals. In addition, this study presents the initial results of finetuning open-source ASR models to better recognize impaired speech in Akan.
| Type: | Proceedings paper |
|---|---|
| Title: | A Cookbook for Community-driven Data Collection of Impaired Speech in Low-Resource Languages |
| Event: | Interspeech 2025 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.21437/Interspeech.2025-2261 |
| Publisher version: | https://doi.org/10.21437/interspeech.2025-2261 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | automatic speech recognition, impaired speech, low resource language, community engagement, democratizing AI |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10217367 |
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