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Xihong Wu

8 papers hereh-index 450 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author6
  • last author2

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.SD5
  • eess.AS3
same name
  • Xihong Wu — 9 papers, h 7
  • Xihong Wu — 5 papers, h 25
  • Xihong Wu — 4 papers, h 15
  • Xihong Wu — 2 papers, h 2
  • Xihong Wu — 1 paper, h 2
  • Xihong Wu — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedCross-attention Inspired Selective State Space Models for Target Sound Extraction

8 citations · 12 across the 8 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.SD2024

DENSE: Dynamic Embedding Causal Target Speech Extraction

Yiwen Wang, Zeyu Yuan, Xihong Wu

Target speech extraction (TSE) focuses on extracting the speech of a specific target speaker from a mixture of signals. Existing TSE models typically utilize static embeddings as c…

eess.AS2024★ 2 cited

Leveraging Sound Source Trajectories for Universal Sound Separation

Donghang Wu, Xihong Wu, Tianshu Qu

Existing methods utilizing spatial information for sound source separation require prior knowledge of the direction of arrival (DOA) of the source or utilize estimated but imprecis…

eess.AS2024★ 8 cited

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

Donghang Wu, Yiwen Wang, Xihong Wu +1

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 cl…

cs.SD2024

TSE-PI: Target Sound Extraction under Reverberant Environments with Pitch Information

Yiwen Wang, Xihong Wu

Target sound extraction (TSE) separates the target sound from the mixture signals based on provided clues. However, the performance of existing models significantly degrades under…

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