High CPU Utilization

[divyeshrajpura4114]

I observe that exetacting MFCC or MFB features utilizes almost all the CPU with 100% capacity. I am sure that extracting these features doesn't requires so much of computation.

I am processing only one file at a time and not using any parallalization.
Here is the code I am using

import glob
import numpy as np
import scipy.io as sio
import scipy.io.wavfile
from python_speech_features import *
filelist = glob.glob("/home/divraj/scribetech/dataset/voxceleb1/test/wav/*/*/*.wav")
for file in filelist:
	sr, audio = sio.wavfile.read(file)
	features, energies = fbank(audio, samplerate=16000, nfilt=40, winlen=0.025, winfunc=np.hamming)

What is the reason for high CPU utilization?

[csukuangfj]

@divyeshrajpura4114
Would you like to try https://github.com/csukuangfj/kaldifeat ?

[zqs01]

I also encountered this problem, the tool seems to take a lot of CPU resources and run slowly.