Enhanced Audio Feature Extraction: Combining Mel-Spectrogram with Temporal Derivatives

This paper introduces a multi-stage feature extraction approach that combines Mel-spectrogram with temporal derivative analysis. By incorporating this technique, the generated multi-dimensional Mel-spectrograms can effectively capture the temporal variations of both the target signals and the ambient noise. Consequently, the unique characteristics of these signals become more distinguishable. Furthermore, the inclusion of an additional spatial dimension allows for the modeling of reverberation effects, enhancing the overall feature representation.