Speech recognition datasets for low-resource Congolese languages

Speech recognition datasets for low-resource Congolese languages

Large pre-trained Automatic Speech Recognition (ASR) models have shown improved performance in low-resource languages due to the increased availability of benchmark corpora and the advantages of transfer learning. However, only a limited number of languages possess ample resources to fully leverage...

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Bibliographic Details
Main Authors: Ussen Kimanuka, Ciira wa Maina, Osman Büyük
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Data in Brief
Subjects:
Automatic speech recognition
Pre-trained models
Transfer learning
Self-supervised learning
Cross-lingual acoustic model
Multilingual acoustic model
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340923008582

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http://www.sciencedirect.com/science/article/pii/S2352340923008582

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