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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 | |
} | |
plt.figure(figsize=[15,5]) | |
t = np.linspace(0.0, duration, sampling_points) | |
samples_bytes = {} | |
scale_samples = [] | |
for nota in notas_freqs: | |
samples = (np.sin(2 * np.pi * t * notas_freqs[nota])).astype(np.float32) | |
samples_bytes[nota] = samples.tobytes() | |
scale_samples.append(samples) | |
plt.plot(t[:200],samples[:200],'-+', ) | |
plt.legend(notes.keys()) | |
plt.savefig('scale.svg') | |
for nota in notas_freqs: | |
print(f"Escuchando: {nota}") | |
sound_wave(samples_bytes[nota], fs) | |
save_wave(np.concatenate(scale_samples), fs, "scale.wav") |
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