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This project implements a real-time audio classification system that distinguishes between music and noise using deep learning. The system converts audio signals into mel-spectrograms and classifies ...

All the datasets must be located in the datasets folder. This folder should contain the following subfolders after downloading the datasets: GTZAN Speech_Music: Contains the GTZAN Speech Music dataset ...

Abstract: We propose a deep neural network with spectrogram matching and mutual attention (SMMA-Net) for audio clue-based target speaker extraction (TSE). To effectively use the auxiliary speech, we ...

Abstract: Human target detection and perception technology has numerous potential applications, including autonomous driving, biometric recognition, and anomaly detection. The distinctive advantages ...