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A PyTorch implementation of DeepSpeech and DeepSpeech2.

License: Other

Dockerfile 2.99% Makefile 0.59% Python 96.42%
deep-learning deepspeech deepspeech2 machine-learning neural-networks pytorch speech-recognition speech-to-text

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deepspeech's Issues

Using as Python package

Hey,
What should I do to use the repo as Python package without Docker?
Is it possible.

Thx

ONNX Conversion of DS1 graph fails

Currently, the DS1 graph fails to export to ONNX due to the HardTanh operation not being part of the supported ONNX operators.

torch.onnx.export(model._get_network(), dummy_input, model_path, verbose=True, input_names=input_names)

> RuntimeError: ONNX export failed: Couldn't export operator aten::hardtanh

A simple fix could be to replace the nn.HardTanh operator with a custom layer that just uses torch.clamp instead, but there might be some additional code associated with module.layers, since torch.clamp expects a Tensor (i.e. not a Module). Hopefully, torch.onnx.export is smart enough convert a torch.clamp() call into the appropriate Clip operation(s).

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