Spoken Language Processing in Python
Daniel Bourke
Machine Learning Engineer/YouTube Creator
import numpy as np
# Convert soundwave_gm from bytes to integers signal_gm = np.frombuffer(soundwave_gm, dtype='int16')
# Show the first 10 items signal_gm[:10]
array([ -3, -5, -8, -8, -9, -13, -8, -10, -9, -11], dtype=int16)
# Get the frame rate framerate_gm = good_morning.getframerate()
# Show the frame rate framerate_gm
48,000
# Return evenly spaced values between start and stop
np.linspace(start=1, stop=10, num=10)
array([ 1., 2., 3., 4., 5., 6., 7., 8., 9., 10.])
# Get the timestamps of the good morning sound wave
time_gm = np.linspace(start=0,
stop=len(soundwave_gm)/framerate_gm,
num=len(soundwave_gm))
# View first 10 time stamps of good morning sound wave
time_gm[:10]
array([0.00000000e+00, 2.08334167e-05, 4.16668333e-05, 6.25002500e-05,
8.33336667e-05, 1.04167083e-04, 1.25000500e-04, 1.45833917e-04,
1.66667333e-04, 1.87500750e-04])
Spoken Language Processing in Python