Created
January 12, 2021 10:16
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1. Prints information about an audio singal, 2. plots the waveform, and 3. Creates player (Taken from https://www.audiolabs-erlangen.de/resources/MIR/FMP/B/B_PythonAudio.html)
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import os | |
import numpy as np | |
from matplotlib import pyplot as plt | |
import IPython.display as ipd | |
import librosa | |
import pandas as pd | |
%matplotlib inline | |
def print_plot_play(x, Fs, text=''): | |
"""1. Prints information about an audio singal, 2. plots the waveform, and 3. Creates player | |
Notebook: C1/B_PythonAudio.ipynb | |
Args: | |
x: Input signal | |
Fs: Sampling rate of x | |
text: Text to print | |
""" | |
print('%s Fs = %d, x.shape = %s, x.dtype = %s' % (text, Fs, x.shape, x.dtype)) | |
plt.figure(figsize=(8, 2)) | |
plt.plot(x, color='gray') | |
plt.xlim([0, x.shape[0]]) | |
plt.xlabel('Time (samples)') | |
plt.ylabel('Amplitude') | |
plt.tight_layout() | |
plt.show() | |
ipd.display(ipd.Audio(data=x, rate=Fs)) | |
# Read wav | |
fn_wav = os.path.join('..', 'data', 'B', 'FMP_B_Note-C4_Piano.wav') | |
x, Fs = librosa.load(fn_wav, sr=None) | |
print_plot_play(x=x, Fs=Fs, text='WAV file: ') | |
# Read mp3 | |
fn_mp3 = os.path.join('..', 'data', 'B', 'FMP_B_Note-C4_Piano.mp3') | |
x, Fs = librosa.load(fn_mp3, sr=None) | |
print_plot_play(x=x, Fs=Fs, text='MP3 file: ') |
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