Created
January 13, 2018 05:42
-
-
Save huseinzol05/ec8ed17cae3b7339509cb56635fc3d94 to your computer and use it in GitHub Desktop.
concat sound features using speechpy
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import speechpy | |
| import scipy.io.wavfile as wav | |
| import numpy as np | |
| def extract_features(signal, fs): | |
| frames = speechpy.processing.stack_frames(signal, sampling_frequency=fs, frame_length=0.020, frame_stride=0.01, filter=lambda x: np.ones((x,)),zero_padding=True) | |
| power_spectrum = speechpy.processing.power_spectrum(frames, fft_points=1) | |
| logenergy = speechpy.feature.lmfe(signal, sampling_frequency=fs, frame_length=0.020, frame_stride=0.01,num_filters=1, fft_length=512, low_frequency=0, high_frequency=None) | |
| mfcc = speechpy.feature.mfcc(signal, sampling_frequency=fs, frame_length=0.020, frame_stride=0.01,num_filters=1, fft_length=512, low_frequency=0, high_frequency=None) | |
| mfcc_cmvn = speechpy.processing.cmvnw(mfcc,win_size=301,variance_normalization=True) | |
| mfcc_feature_cube = speechpy.feature.extract_derivative_feature(mfcc) | |
| return np.hstack([power_spectrum[:,0],logenergy[:,0],mfcc_cmvn[:,0],mfcc_feature_cube[:,0,1]]) | |
| fs, signal = wav.read(sound_file_wav) | |
| print(extract_features(signal, fs)) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment