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pro vyhledávání: '"Ogbuigwe, Daniel"'
Autor:
Nzenwata, Uchenna, Ogbuigwe, Daniel
We present a cost-effective approach for developing Automatic Speech Recognition (ASR) models for low-resource languages like Ika. We fine-tune the pretrained wav2vec 2.0 Massively Multilingual Speech Models on a high-quality speech dataset compiled
Externí odkaz:
http://arxiv.org/abs/2410.00940