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

33 citations · 33 across the 7 of their papers we have counts for

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5 papers · 1 filter

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…

eess.AS2024

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

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…

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.AS201933 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…