Abstract:In recent years, the progress made in neural models trained on extensive multilingual text or speech data has shown great potential for improving the status of underresourced languages. This paper focuses on experimenting with three state-of-the-art speech recognition models, namely Facebook's Wav2Vec2.0 and Wav2Vec2-XLS-R, OpenAI's Whisper, on the Kazakh language. The objective of this research is to investigate the effectiveness of these models in transcribing Kazakh speech and to compare their performance w… Show more
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