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A major direction of Deep Learning in audio, especially generative models, is using features in frequency domain because directly model raw time signal is hard. But this require an extra process to ...

Abstract: In this study, we propose Mel-weighted single frequency filtering (SFF) spectrograms for dialect identification. The spectrum derived using SFF has high spectral resolution for harmonics and ...

Abstract: Diagnosing rolling bearing faults is critical for maintaining machinery reliability, as these components are essential in reducing friction in rotating systems. The increased bearing failure ...

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...