|
|
@ -2,7 +2,6 @@ |
|
|
|
Integration of Fastspeech Text to Mel generation and fast Vocoder Squeezewave ( CPU only). |
|
|
|
This is one of the fastest TTS solution. |
|
|
|
|
|
|
|
@@ Can someone try on RPI (3 or 4 ) and update me timing information |
|
|
|
|
|
|
|
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 |
|
|
|
|
|
|
|
On X86 3.6ghz Single Core |
|
|
|
``` |
|
|
|
07:40:00alok@/mount/data/fastspeech_squeezewave/FastSpeech$ bash run_inference.sh |
|
|
|
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 |
|
|
|
``` |