openspeech-team/openspeech

Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.

48
/ 100
Emerging

This is a toolkit for machine learning engineers and researchers to build custom automatic speech recognition (ASR) systems. It allows you to feed audio recordings and receive transcribed text, using a simplified training process for cutting-edge models. The ideal users are those who need to develop or experiment with advanced speech-to-text models for specific applications or languages.

718 stars. No commits in the last 6 months.

Use this if you are an AI/ML engineer or researcher looking to train your own end-to-end speech recognition models with powerful features like multi-GPU training and mixed precision.

Not ideal if you need a ready-to-use API for speech-to-text conversion or pre-trained models, as this framework focuses on model development rather than deployment.

automatic-speech-recognition machine-learning-engineering deep-learning-research audio-processing natural-language-processing
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 22 / 25

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Stars

718

Forks

114

Language

Python

License

MIT

Last pushed

Oct 23, 2023

Commits (30d)

0

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