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alokprasad 4 years ago
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Integration of Fastspeech Text to Mel generation and fast Vocoder Squeezewave ( CPU only). Integration of Fastspeech Text to Mel generation and fast Vocoder Squeezewave ( CPU only).
This is one of the fastest TTS solution. This is one of the fastest TTS solution.
@@ Can someone try on RPI (3 or 4 ) and update me timing information
Code from Code from
@ -38,6 +37,7 @@ Text -->" Printing, in the only sense with which we are at present concerned, di
Audio Duratio generated 11.5 Sec in arodun 3.83 seconds Audio Duratio generated 11.5 Sec in arodun 3.83 seconds
On X86 3.6ghz Single Core
``` ```
07:40:00alok@/mount/data/fastspeech_squeezewave/FastSpeech$ bash run_inference.sh 07:40:00alok@/mount/data/fastspeech_squeezewave/FastSpeech$ bash run_inference.sh
MEL Calculation: MEL Calculation:
@ -50,3 +50,15 @@ Squeezewave vocoder time
``` ```
@@ On RasperryPi ( @varungujjar)
```
Raspberry Pi4 4GB
Model : L128_small_pretrain
Fastspeech :
MEL Calculation:
2.8617560863494873
SqueezeWave
Squeezewave vocoder time
14.423999309539795
```

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