CNN_Audio_Classification_Model_with_Spectrogram

1
license:mit
by
AIOmarRehan
Audio Model
OTHER
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Quick Summary

AI model with specialized capabilities.

Code Examples

5. Mel Spectrogram Generationpython
S = librosa.feature.melspectrogram(
    y=y, sr=SR,
    n_fft=N_FFT,
    hop_length=HOP_LENGTH,
    n_mels=N_MELS
)
S_dB = librosa.power_to_db(S, ref=np.max)
10. Evaluationpython
y_pred = np.argmax(model.predict(test_ds), axis=1)
print(classification_report(y_true, y_pred, target_names=le.classes_))
python
sns.heatmap(confusion_matrix(y_true, y_pred), annot=True, cmap='Blues')
plt.title("Confusion Matrix")
plt.show()

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