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Which Python Library Should You Use for Audio Waveform and Spectrogram Visualization?
Learn which Python library is best for loading and visualizing audio data as waveforms or spectrograms, and why librosa is the standard choice for audio analysis in Python.
Question
Which Python library would you most likely use to load and visualize audio data as waveforms or spectrograms?
A. pandas
B. matplotlib
C. scikit-learn
D. librosa
Answer
D. librosa
Explanation
librosa is the Python library most commonly used to load audio files and visualize them as waveforms or spectrograms. It includes audio-specific functions for reading sound data and display helpers designed for tasks like waveform plotting and time-frequency analysis.
matplotlib is often used alongside librosa for plotting, but it is a general visualization library rather than an audio analysis library. pandas is mainly for tabular data, and scikit-learn is for machine learning, so neither is the best fit for loading and visualizing audio directly.