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Create plot and reproduce chord
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import pyaudio | |
import matplotlib.pyplot as plt | |
import numpy as np | |
PyAudio = pyaudio.PyAudio | |
from scipy.io.wavfile import write | |
def sound_wave(wave, fs): | |
p = PyAudio() | |
stream = p.open(format = pyaudio.paFloat32, channels = 1, rate = fs, output = True) | |
stream.write(wave) | |
stream.stop_stream() | |
stream.close() | |
p.terminate() | |
def save_wave(wave, fs, name): | |
write(name, fs, wave) | |
fs = 44100 # sampling rate = 1/s | |
ts = 1/fs | |
duration = 2 # seconds | |
sampling_points = duration*fs | |
notas_freqs = { | |
'do': 261.63, | |
're': 293.66, | |
'mi': 329.63, | |
'fa': 349.23, | |
'sol': 392, | |
'la': 440, | |
'si': 493.88 | |
} | |
t = np.linspace(0.0, duration, sampling_points) | |
chord_waves = 0.3*(np.sin(2 * np.pi * t * notas_freqs['do'])).astype(np.float32) + \ | |
0.3*(np.sin(2 * np.pi * t * notas_freqs['mi'])).astype(np.float32) + \ | |
0.3*(np.sin(2 * np.pi * t * notas_freqs['sol'])).astype(np.float32) | |
plt.figure(figsize=[15,5]) | |
plt.plot(t[:2000],chord_waves[:2000],'-+', ) | |
plt.legend(["Acorde [do,mi,sol]"]) | |
plt.savefig('chord.svg') | |
sound_wave(chord_waves.tobytes(), fs) | |
save_wave(chord_waves, fs, "chord.wav") |
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