Wave file to Bin for Embedded System

plot_wave_save_bin.py

import wave
import numpy as np
import matplotlib.pyplot as plt
import array

wav_obj = wave.open('spike11K.wav', 'rb')
sample_freq = wav_obj.getframerate()
print(sample_freq)
n_samples = wav_obj.getnframes()
print(n_samples)
t_audio = n_samples/sample_freq
print(t_audio)
n_channels = wav_obj.getnchannels()
print(n_channels)
signal_wave = wav_obj.readframes(n_samples)

signal_array = np.frombuffer(signal_wave, dtype=np.int16)
l_channel = signal_array[0::1]
times = np.linspace(0, n_samples/sample_freq, num=n_samples)

# plt.figure(figsize=(15, 5))
# plt.plot(times, l_channel)
# plt.title('Left Channel')
# plt.ylabel('Signal Value')
# plt.xlabel('Time (s)')
# plt.xlim(0, t_audio)
# plt.show()

buf128K = array.array('H', (0 for i in range(64*1024))) #2Byte * 64K
print(l_channel[100:500])
sub_a = l_channel[0:64*1024]
sub_b = l_channel[64*1024:64*1024+64*1024]
for idx, d in enumerate(sub_a):
        buf128K[idx] = (d + 0x8000) >> 4

print(buf128K[100:500])
t_audio = (64*1024)/sample_freq
print(t_audio)
plt.figure(figsize=(15, 5))
#plt.plot(times[0:64*1024], l_channel[0:64*1024])
plt.plot(times[0:64*1024], buf128K)
plt.title('Left Channel')
plt.ylabel('Signal Value')
plt.xlabel('Time (s)')
plt.xlim(0, t_audio)
plt.show()

newFile = open("spike11KA.bin", "wb")
newFile.write(buf128K)

# plt.figure(figsize=(15, 5))
# plt.specgram(l_channel, Fs=sample_freq, vmin=-20, vmax=50)
# plt.title('Left Channel')
# plt.ylabel('Frequency (Hz)')
# plt.xlabel('Time (s)')
# plt.xlim(0, t_audio)
# plt.colorbar()
# plt.show()