Hands-on with analyzing audio data
In this section, we’ll dive deep into various operations that we can perform on audio data such as, cleaning, loading, analyzing, and visualizing it.
Example code for loading and analyzing sample audio file
Before diving into audio data analysis with Librosa, you’ll need to install it. To install Librosa, you can use pip, Python’s package manager:
pip install librosa
This will download and install Librosa, along with its dependencies.
Now that you have Librosa installed, let’s begin by loading an audio file and performing some basic analysis on it. In this example, we’ll analyze a sample audio file. We can read audio files using SciPy as follows:
from scipy.io import wavfile
import matplotlib.pyplot as plt
sample_rate, data = wavfile.read('cat_1.wav')
print(sample_rate)
print(data)
#Visulize the wave form
plt.figure(figsize=(8, 4))
plt.plot(data)
plt.title('Waveform')
plt.xlabel...
