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@ -4,22 +4,22 @@ A fast, local neural text to speech system.
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``` sh
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echo 'Welcome to the world of speech synthesis!' | \
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./larynx --model blizzard_lessac-medium.onnx --output_file welcome.wav
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./larynx --model en-us-blizzard_lessac-medium.onnx --output_file welcome.wav
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```
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## Voices
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* [U.S. English](https://github.com/rhasspy/larynx2/releases/download/v0.0.1/voice-english.tar.gz)
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* [German](https://github.com/rhasspy/larynx2/releases/download/v0.0.1/voice-german.tar.gz)
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* [Danish](https://github.com/rhasspy/larynx2/releases/download/v0.0.1/voice-danish.tar.gz)
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* [Norweigian](https://github.com/rhasspy/larynx2/releases/download/v0.0.1/voice-norweigian.tar.gz)
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* [Nepali](https://github.com/rhasspy/larynx2/releases/download/v0.0.1/voice-nepali.tar.gz)
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* [Vietnamese](https://github.com/rhasspy/larynx2/releases/download/v0.0.1/voice-vietnamese.tar.gz)
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* [U.S. English](https://github.com/rhasspy/larynx2/releases/download/v0.0.1/voice-english.tar.gz) (22Khz, single speaker)
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* [German](https://github.com/rhasspy/larynx2/releases/download/v0.0.1/voice-german.tar.gz) (16Khz, single speaker)
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* [Danish](https://github.com/rhasspy/larynx2/releases/download/v0.0.1/voice-danish.tar.gz) (22Khz, multispeaker)
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* [Norweigian](https://github.com/rhasspy/larynx2/releases/download/v0.0.1/voice-norweigian.tar.gz) (22Khz, single speaker)
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* [Nepali](https://github.com/rhasspy/larynx2/releases/download/v0.0.1/voice-nepali.tar.gz) (16Khz, multispeaker)
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* [Vietnamese](https://github.com/rhasspy/larynx2/releases/download/v0.0.1/voice-vietnamese.tar.gz) (16Khz, multispeaker)
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## Purpose
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Larynx is meant to sound as good as [CoquiTTS](https://github.com/coqui-ai/TTS), but run reasonbly fast on the Raspberry Pi 4.
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Larynx is meant to sound as good as [CoquiTTS](https://github.com/coqui-ai/TTS), but run reasonably fast on the Raspberry Pi 4.
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Voices are trained with [VITS](https://github.com/jaywalnut310/vits/) and exported to the [onnxruntime](https://onnxruntime.ai/).
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@ -37,7 +37,7 @@ If you want to build from source, see the [Makefile](Makefile) and [C++ source](
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## Usage
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1. [Download a voice](#voices) and extract the `.onnx` and `.onnx.json` files
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2. Run the `larynx` binary with text on stdin, `--model /path/to/your-voice.onnx`, and `--output_file output.wav`
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2. Run the `larynx` binary with text on standard input, `--model /path/to/your-voice.onnx`, and `--output_file output.wav`
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For example:
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Michael Hansen
1 year ago