1ytic/open_stt_e2e
PyTorch end-to-end speech recognition
This project offers a set of tools to build custom speech recognition systems. It takes raw audio recordings and their corresponding text transcripts as input and produces highly accurate acoustic and language models. These models can then convert spoken audio into written text, benefiting researchers or developers working with speech-to-text applications, especially for the Russian language.
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Use this if you need to train or fine-tune speech recognition models for the Russian language using your own audio datasets.
Not ideal if you are looking for a pre-built, ready-to-use speech-to-text application without needing to train custom models.
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Language
Python
License
MIT
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Last pushed
Dec 30, 2020
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