audio-to-spectrogram

Convert audio files into spectrograms using Python and the Librosa library.

Audio to Spectrogram

This project demonstrates how to convert audio files into spectrograms using the Python library Librosa.

Features

• Load audio files (.wav, .mp3)
• Generate mel spectrograms
• Visualize audio features
• Prepare audio data for machine learning

Example Code

import librosa
import librosa.display
import matplotlib.pyplot as plt
import numpy as np

y, sr = librosa.load("audio_sample.wav")
S = librosa.feature.melspectrogram(y=y, sr=sr, n_mels=128)
S_dB = librosa.power_to_db(S, ref=np.max)

plt.figure(figsize=(10, 4))
librosa.display.specshow(S_dB, sr=sr, x_axis='time', y_axis='mel')
plt.colorbar(format='%+2.0f dB')
plt.title('Mel Spectrogram')
plt.tight_layout()
plt.show()