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

8 papers

cs.SD2026

The World is Not Mono: Enabling Spatial Understanding in Large Audio-Language Models

Yuhuan You, Lai Wei, Xihong Wu +1

Large audio-language models have made rapid progress in recognizing what is present in an audio clip, but spatial audio-language understanding still lacks a clear task interface. A…

eess.AS2025

Automotive sound field reproduction using deep optimization with spatial domain constraint

Yufan Qian, Tianshu Qu, Xihong Wu

Sound field reproduction with undistorted sound quality and precise spatial localization is desirable for automotive audio systems. However, the complexity of automotive cabin acou…

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…

cs.SD2022

TT-Net: Dual-path transformer based sound field translation in the spherical harmonic domain

Yiwen Wang, Zijian Lan, Xihong Wu +1

In the current method for the sound field translation tasks based on spherical harmonic (SH) analysis, the solution based on the additive theorem usually faces the problem of singu…

cs.SD2022★ 2 cited

Room geometry blind inference based on the localization of real sound source and first order reflections

Shan Gao, Xihong Wu, Tianshu Qu

The conventional room geometry blind inference techniques with acoustic signals are conducted based on the prior knowledge of the environment, such as the room impulse response (RI…