Module for Speech Processing
Project description
PySpeechAnalysis
- Now Support
- autocorrelation, average_magnitude_difference, bandpass_filter, covariance, discrete_cosine_transfrom,
- framming, hamming_window, mel_filter, moving_average, normalize_signal,
- pre_emphasis, power_spectrum, standard_deviation
Example
How to use
from scipy.io import wavfile
from pyspeechanalysis import SpeechProcessing as SP
inputfile = r'./audio.wav'
[fs, X] = wavfile.read(inputfile)
# PRE-PROCESSING
x = SP.normalize_signal(X, is_figure = True)
y = SP.pre_emphasis(x, is_figure = False)
# FRAMING AND OVERLAPPING
PERCENT = 80
FRAME_MILLISEC = 0.032
frame = SP.set_frame(fs, FRAME_MILLISEC)
signal_vector = SP.framming(y, frame, PERCENT)
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