Skip to content

Chen1399/PNCC

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

44 Commits
 
 
 
 
 
 
 
 

Repository files navigation

PNCC implementation in Python

Based on

put a slide about PNCC

Installation:

Clone and install requirements.

cd ~
git clone https://github.com/supikiti/PNCC.git
cd PNCC
pip install -r requirements.txt

PNCC features

If you want to change the PNCC parameters, the following parameters are supported.

def pncc(signal=audio_wave, n_fft=512, sr=16000, winlen=0.020, winstep=0.010,
         n_mels=128, n_pncc=13):
Parameter Description
signal the audio signal from which to compute features. Should be an (N, 1) array
n_fft the FFT size. Default is 512.
sr the samplerate of the signal we are working with.
winlen the length of the analysis window in seconds. Default is 0.020s.(25 milliseconds)
winstep the step between successive windows in seconds. Default is 0.010.(10 milliseconds)
n_mels the number of filters in the filterbank, default 128.
n_pncc the number of cepstrum to return, default 13.

Licence

MIT

Author

supikiti

About

A implementation of Power Normalized Cepstral Coefficients: PNCC

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%