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41 lines
1.2 KiB
Markdown
41 lines
1.2 KiB
Markdown
3 years ago
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# Learning Nemo Toolkit
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## Examples
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I made a streaming example with `tts_stream.py`.
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```
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python tts_steam.py
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```
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Will take some time to load but eventually you will see
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```
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[NeMo I 2022-03-05 14:32:25 common:654] Instantiating model from pre-trained checkpoint
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[NeMo I 2022-03-05 14:32:27 features:240] PADDING: 1
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[NeMo I 2022-03-05 14:32:27 features:249] STFT using conv
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[NeMo I 2022-03-05 14:32:27 features:251] STFT using exact pad
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[NeMo I 2022-03-05 14:33:13 modelPT:376] Model SqueezeWaveModel was successfully restored from /home/toor/.cache/torch/NeMo/NeMo_1.0.0rc1/tts_squeezewave/d48f5835ac007ddb0c183bdbbbdace28/tts_squeezewave.nemo.
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File tts_fifo_file already exists
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Pipe text to tts_fifo_file
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```
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You can echo text steams to this file and the program will process them and play them on local speaker:
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```
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echo "I can't let you do that Dave." > tts_fifo_file
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```
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The first time it processes a text stream it will take a lot longer. It should get slightly faster after that first steam.
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## Dependencies
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I had
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```
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llvmlite-0.36.0-cp38-cp38-linux_aarch64.whl
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onnxruntime_gpu-1.7.0-cp38-cp38-linux_aarch64.whl
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torch-1.7.0-cp38-cp38-linux_aarch64.whl
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```
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In a dependencies folder. So I assume I hade these installed in then virtualenv manually
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