Fork of https://github.com/alokprasad/fastspeech_squeezewave to also fix denoising in squeezewave
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  1. # fastspeech_squeezewave
  2. Integration of Fastspeech Text to Mel generation and fast Vocoder Squeezewave ( CPU only).
  3. This is one of the fastest TTS solution.
  4. @@ Can someone try on RPI (3 or 4 ) and update me timing information
  5. Code from
  6. https://github.com/xcmyz/FastSpeech
  7. https://github.com/tianrengao/SqueezeWave
  8. Put Model in Squeezewave from
  9. https://drive.google.com/file/d/1RyVMLY2l8JJGq_dCEAAd8rIRIn_k13UB/view?usp=sharing
  10. and rename it Squeezewave.pt ( select based on quality and size tradeoff)
  11. ```
  12. -rwxrwxrwx 1 root root 312M Jan 17 05:02 L128_large_pretrain
  13. -rwxrwxrwx 1 root root 97M Jan 17 05:02 L128_small_pretrain
  14. -rwxrwxrwx 1 root root 324M Jan 17 05:01 L64_large_pretrain
  15. -rwxrwxrwx 1 root root 106M Jan 17 05:03 L64_small_pretrain
  16. ```
  17. # Running Infernce
  18. 1. cd FastSpeech ; run_inference.sh
  19. 2. cd SqueezeWave ; run_inference.sh
  20. This generate wave file.
  21. # Example Run(Single CORE CPU)
  22. ( Time calculation except loading time of model)
  23. Text -->" Printing, in the only sense with which we are at present concerned, differs from most if not from all the arts and crafts represented in the Exhibition in being comparatively modern"
  24. Audio Duratio generated 11.5 Sec in arodun 3.83 seconds
  25. ```
  26. 07:40:00alok@/mount/data/fastspeech_squeezewave/FastSpeech$ bash run_inference.sh
  27. MEL Calculation:
  28. 2.827802896499634
  29. 07:40:37alok@/mount/data/fastspeech_squeezewave/SqueezeWave$ bash run_inference.sh
  30. ./test_synthesis.wav
  31. Squeezewave vocoder time
  32. 1.0016820430755615
  33. ```