Skip to main content

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.

46dAq1.png

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

46dnPO.png 46dMxH.png

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

voicefixer-0.0.6.tar.gz (34.7 kB view hashes)

Uploaded Source

Built Distribution

voicefixer-0.0.6-py3-none-any.whl (41.3 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page