PNCC implementation in Python

Based on

• http://www.cs.cmu.edu/~robust/Papers/OnlinePNCC_V25.pdf
• https://www.eurasip.org/Proceedings/Eusipco/Eusipco2015/papers/1570104069.pdf

put a slide about PNCC

• https://www.slideshare.net/ssuser3f97dd/dl-hucks-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