spafe.fbanks.bark_fbanks¶
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spafe.fbanks.bark_fbanks.
Fm
(fb, fc)[source]¶ Compute a Bark filter around a certain center frequency in bark.
Parameters: - fb (int) – frequency in Bark.
- fc (int) – center frequency in Bark.
Returns: associated Bark filter value/amplitude.
Return type: (float)
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spafe.fbanks.bark_fbanks.
bark_filter_banks
(nfilts=20, nfft=512, fs=16000, low_freq=0, high_freq=None, scale='constant')[source]¶ Compute Bark-filterbanks. The filters are stored in the rows, the columns correspond to fft bins.
Parameters: - nfilts (int) – the number of filters in the filterbank. (Default 20)
- nfft (int) – the FFT size. (Default is 512)
- fs (int) – sample rate/ sampling frequency of the signal. (Default 16000 Hz)
- low_freq (int) – lowest band edge of mel filters. (Default 0 Hz)
- high_freq (int) – highest band edge of mel filters. (Default samplerate/2)
- scale (str) – choose if max bins amplitudes ascend, descend or are constant (=1). Default is “constant”
Returns: a numpy array of size nfilts * (nfft/2 + 1) containing filterbank. Each row holds 1 filter.
Example:
import matplotlib.pyplot as plt
from spafe.fbanks import bark_fbanks
# compute fbanks
fbanks = bark_fbanks.bark_filter_banks(nfilts=24, nfft=512, fs=16000)
# plot fbanks
for i in range(len(fbanks)):
plt.plot(fbanks[i])
plt.ylim(0, 1.1)
plt.grid(True)
plt.ylabel(ylabel)
plt.xlabel(xlabel)
plt.show()