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A GLaDOS TTS, using Forward Tacotron and HiFiGAN. Inference is fast and stable, even on the CPU. A low quality vocoder model is included for mobile use. Rudimentary TTS script included. Works perfectly on Linux, partially on Maybe someone smarter than me can make a GUI.

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GLaDOS Text-to-speech (TTS) Voice Generator

Neural network based TTS Engine.

If you want to just play around with the TTS, this works as stand-alone.

python3 glados-tts/glados.py

the TTS Engine can also be used remotely on a machine more powerful then the Pi to process in house TTS: (executed from glados-tts directory

python3 engine-remote.py

Default port is 8124 Be sure to update settings.env variable in your main Glados-voice-assistant directory:

TTS_ENGINE_API			= http://192.168.1.3:8124/synthesize/

Description

The initial, regular Tacotron model was trained first on LJSpeech, and then on a heavily modified version of the Ellen McClain dataset (all non-Portal 2 voice lines removed, punctuation added).

  • The Forward Tacotron model was only trained on about 600 voice lines.
  • The HiFiGAN model was generated through transfer learning from the sample.
  • All models have been optimized and quantized.

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A GLaDOS TTS, using Forward Tacotron and HiFiGAN. Inference is fast and stable, even on the CPU. A low quality vocoder model is included for mobile use. Rudimentary TTS script included. Works perfectly on Linux, partially on Maybe someone smarter than me can make a GUI.

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  • Python 100.0%