xieliang555/Automatic-Speech-Recognition
End-to-end ASR system on TIMIT
This project offers different methods to convert spoken audio into written text automatically. It takes raw speech recordings and produces a transcript of what was said. Researchers and developers working on speech-to-text systems, especially those focusing on phoneme-level accuracy, would find this useful.
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Use this if you are developing or experimenting with core Automatic Speech Recognition (ASR) models and need to compare different end-to-end architectures like CTC or Transducer.
Not ideal if you need a ready-to-use speech-to-text application for transcribing general audio, as this focuses on foundational model implementations rather than a complete user-facing tool.
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Python
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Last pushed
Jul 07, 2020
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