jiwidi/DeepSpeech-pytorch

Pytorch implementation for DeepSpeech 2.0

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This project offers an end-to-end speech recognition solution, allowing you to convert spoken audio into written text. You feed it audio recordings, and it produces a transcription of the speech within them. This is primarily for machine learning practitioners and researchers who need to implement or experiment with automatic speech recognition (ASR) systems.

No commits in the last 6 months.

Use this if you are a machine learning developer looking to train or fine-tune a DeepSpeech 2.0-style speech recognition model using PyTorch.

Not ideal if you are an end-user simply looking for a ready-to-use application to transcribe audio without needing to understand or modify the underlying machine learning model.

automatic-speech-recognition audio-processing natural-language-processing machine-learning-research deep-learning
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 11 / 25

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Stars

31

Forks

4

Language

Python

License

Apache-2.0

Last pushed

Jul 25, 2024

Commits (30d)

0

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