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 cs.SDShow all

5 papers · 1 filter

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…

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…

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…