Cross-attention Inspired Selective State Space Models for Target Sound Extraction

The Transformer model, particularly its cross-attention module, is widely used for feature fusion in target sound extraction which extracts the signal of interest based on given clues. Despite its effectiveness, this approach suffers from low computational efficiency. Recent advancements in state sp...

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Veröffentlicht in:	arXiv.org 2024-12
Hauptverfasser:	Wu, Donghang, Wang, Yiwen, Wu, Xihong, Qu, Tianshu
Format:	Artikel
Sprache:	eng
Schlagworte:	Effectiveness Mixtures State space models Task complexity Transformers
Online-Zugang:	Volltext
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