mirror of https://github.com/CrimsonTome/tldr.git
26 lines
1.1 KiB
Markdown
26 lines
1.1 KiB
Markdown
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# piper
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> A fast, local neural text to speech system.
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> Try out and download speech models from <https://rhasspy.github.io/piper-samples>.
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> More information: <https://github.com/rhasspy/piper>.
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- Output a WAV [f]ile using a text-to-speech [m]odel (assuming a config file at model_path + .json):
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`echo {{Thing to say}} | piper -m {{path/to/model.onnx}} -f {{outputfile.wav}}`
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- Output a WAV [f]ile using a [m]odel and specifying its JSON [c]onfig file:
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`echo {{'Thing to say'}} | piper -m {{path/to/model.onnx}} -c {{path/to/model.onnx.json}} -f {{outputfile.wav}}`
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- Select a particular speaker in a voice with multiple speakers by specifying the speaker's ID number:
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`echo {{'Warum?'}} | piper -m {{de_DE-thorsten_emotional-medium.onnx}} --speaker {{1}} -f {{angry.wav}}`
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- Stream the output to the mpv media player:
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`echo {{'Hello world'}} | piper -m {{en_GB-northern_english_male-medium.onnx}} --output-raw -f - | mpv -`
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- Speak twice as fast, with huge gaps between sentences:
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`echo {{'Speaking twice the speed. With added drama!'}} | piper -m {{foo.onnx}} --length_scale {{0.5}} --sentence_silence {{2}} -f {{drama.wav}}`
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