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return features

# Extract Mel-frequency cepstral coefficients (MFCCs) mfccs = librosa.feature.mfcc(audio, sr=sr)

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file_path = "tirunelveli_alvada.mp3" features = extract_features(file_path) print(features) Keep in mind that this is just a basic example, and you may need to modify it to suit your specific requirements.

import librosa import numpy as np

def extract_features(file_path): # Load audio file audio, sr = librosa.load(file_path)

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# Extract spectral features spectral_centroid = librosa.feature.spectral_centroid(audio, sr=sr) spectral_bandwidth = librosa.feature.spectral_bandwidth(audio, sr=sr)