This package is written for the restoration of degraded speech
Project description
VoiceFixer
Voicefixer aims at the restoration of human speech regardless how serious its degraded. It can handle noise, reveberation, low resolution (2kHz~44.1kHz) and clipping (0.1-1.0 threshold) effect within one model.
Usage
from voicefixer import VoiceFixer
voicefixer = VoiceFixer()
voicefixer.restore(input="", # input wav file path
output="", # output wav file path
cuda=False, # whether to use gpu acceleration
mode = 0) # You can try out mode 0, 1 to find out the best result
from voicefixer import Vocoder
# Universal Speaker Independent Vocoder
vocoder = Vocoder(sample_rate=44100) # only support 44100 sample rate
vocoder.oracle(fpath="", # input wav file path
out_path="") # output wav file path
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