activity
20192026
most citedModeling of Individual HRTFs based on Spatial Principal Component Analysis

33 citations · 45 across the 11 of their papers we have counts for

collaborators

11 papers

cs.SD2026

SHB-AE: Spherical harmonic beamforming based Ambisonics encoding and upscaling method for smartphone microphone array

Yuhuan You, Yufan Qian, Tianshu Qu +2

With the rapid development of virtual reality (VR) and augmented reality (AR), spatial audio recording and reproduction have gained increasing research interest. Higher Order Ambis…

cs.SD2026

Flow-HOA: Generative Joint Optimization for Ambisonics Encoding via Flow Matching

Yuhuan You, Yufan Qian, Tianshu Qu +2

Higher-Order Ambisonics (HOA) encoding from sparse, irregular microphone arrays remains a critical challenge for consumer spatial audio capture in immersive communication and XR. W…

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.CV2025

TA-V2A: Textually Assisted Video-to-Audio Generation

Yuhuan You, Xihong Wu, Tianshu Qu

As artificial intelligence-generated content (AIGC) continues to evolve, video-to-audio (V2A) generation has emerged as a key area with promising applications in multimedia editing…

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.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…

eess.AS2021

Direct source and early reflections localization using deep deconvolution network under reverberant environment

Shan Gao, Xihong Wu, Tianshu Qu

This paper proposes a deconvolution-based network (DCNN) model for DOA estimation of direct source and early reflections under reverberant scenarios. Considering that the first-ord…

eess.AS2019★ 33 cited

Modeling of Individual HRTFs based on Spatial Principal Component Analysis

Mengfan Zhang, Zhongshu Ge, Tiejun Liu +2

Head-related transfer function (HRTF) plays an important role in the construction of 3D auditory display. This paper presents an individual HRTF modeling method using deep neural n…