SDNet Demo

1. Test Set Samples

Sample 1

    Noisy(at 8kHz)       UNet + I-DTLN        VoiceFixer

     Ours          Clean(Reference)

Sample 2

    Noisy(at 8kHz)       UNet + I-DTLN        VoiceFixer

     Ours          Clean(Reference)

Sample 3

    Noisy(at 8kHz)       UNet + I-DTLN        VoiceFixer

     Ours          Clean(Reference)

Sample 4

    Noisy(at 8kHz)       UNet + I-DTLN        VoiceFixer

     Ours          Clean(Reference)

Sample 5

    Noisy(at 8kHz)       UNet + I-DTLN        VoiceFixer

     Ours          Clean(Reference)

2. Real World Samples

In this part, we selected some old speech to repair their quality. Some samples are below.

Sample 1

” Science has profoundly altered the conditions of man’s life both materially and in ways of the spirit as well. “ - J. Robert Oppenheimer

    Source            Output

Spectrogram:

Sample 2

” If someone, again who hadn’t been here before, asked you ‘ Is it safe to come to Northern Ireland? ’ What would you say? “ - From an old interview

    Source            Output

Spectrogram:

Sample 3

” Begin the day with Able Mabel. She’ll wake you at your preset time. “ - From an old TV advertisement

    Source            Output

Spectrogram:

3. Acknowledgement

Our work was built based on AERO (https://github.com/slp-rl/aero).

The following repositories also help us a lot.

https://github.com/zkx06111/WSRGlow

https://github.com/maum-ai/nuwave2

https://github.com/haoheliu/voicefixer

https://github.com/lhwcv/DTLN_pytorch

https://github.com/ncarraz/AFILM

Thanks for all these great work.