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SincDPNet is proposed, a compact raw-waveform classifier with a learnable sinc filter bank followed by a depthwise-separable convolutional body that helps to reduce room-specific leakage and spectral overlap among water-related events.
Teacher-Guided Learning NSGA-II (TGL-NSGA-II), a low-fidelity framework for constrained Tiny Machine Learning (TinyML) neural architecture search, achieves the largest mean hypervolume and smallest generational distance on keyword spotting, records the lowest mean false-positive rate on BirdCLEF, and runs 2.2x faster t...
Multimodal video question answering (VideoQA) remains largely vision-centric, underutilizing auditory signals that are essential for real-world understanding. We propose EchoVision, a retrieval-based audio-visual framework that abandons explicit cross-modal fusion in favor of a decoupled dual-pipeline design with impli...
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