Bangla-Wave: Improving Bangla Automatic Speech Recognition Utilizing N-gram Language Models

  title={Bangla-Wave: Improving Bangla Automatic Speech Recognition Utilizing N-gram Language Models},
  author={Mohammed Rakib and Md. Ismail Hossain and Nabeel Mohammed and Fuad Rahman},
—Although over 300M around the world speak Bangla, scant work has been done in improving Bangla voice-to-text transcription due to Bangla being a low-resource language. However, with the introduction of the Bengali Common Voice 9.0 speech dataset, Automatic Speech Recognition (ASR) models can now be significantly improved. With 399hrs of speech recordings, Bengali Common Voice is the largest and most diversified open- source Bengali speech corpus in the world. In this paper, we outperform the… 

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