zh217/torch-asg

Auto Segmentation Criterion (ASG) implemented in pytorch

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Emerging

This project offers a method for training deep learning models that process sequences, particularly useful in speech recognition. It takes raw audio data or similar sequential inputs and, after training, produces highly accurate transcriptions or classifications. This is designed for researchers and engineers developing advanced deep learning systems for sequence modeling.

No commits in the last 6 months.

Use this if you are building an end-to-end speech recognition system or similar sequence-to-sequence model and need an alternative loss function to CTC that offers different theoretical advantages and potentially better integration with WFSTs.

Not ideal if you are looking for a pre-trained, ready-to-use speech recognition solution or if you are not working with deep learning models in PyTorch.

speech-recognition sequence-modeling deep-learning-research audio-processing
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 16 / 25

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Stars

51

Forks

9

Language

C++

License

GPL-3.0

Last pushed

Oct 01, 2021

Commits (30d)

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