PNCC Save
A implementation of Power Normalized Cepstral Coefficients: PNCC
Project README
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
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
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Open Source Agenda is not affiliated with "PNCC" Project. README Source: supikiti/PNCC
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4 years ago
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