TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation
TIGER is a lightweight model for speech separation which effectively extracts key acoustic features through frequency band-split, multi-scale and full-frequency-frame modeling. In this paper, we ...
Abstract: Environmental Sound Recognition (ESR) is an essential task in audio analysis, involving the identification and classification of sounds from various environmental contexts. This study ...
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