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An open-source framework for analyzing birdsong recordings through acoustic feature extraction, dimensionality reduction, and neural audio synthesis. Transform audio signals into interactive 3D ...

Abstract: In audio classification, developing efficient and robust models is critical for real-time applications. Inspired by the design principles of MobileViT, we present FAST (Fast Audio ...

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 ...

Uses channel and spatial attention mechanisms to focus on the most relevant speech features. Pitch-Aware Representation: Incorporates Gaussian masking based on F0 ...