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Jianjun He

6 accepted papers

2019

Parametric Hear through Equalization for Augmented Reality Audio

ICASSP 2019accepted

Augmented Reality (AR) audio applications require headphones to be acoustically transparent so that real sounds can pass through unaltered for natural fusion with virtual sounds. In this paper, we consider a multiple source scenario for hear through (HT) equalization (EQ) using closed-back circumaur…

Cited by 0SourceScholar
2017

Fast HRFT measurement system with unconstrained head movements for 3D audio in virtual and augmented reality applications

ICASSP 2017accepted

Binaural audio plays an indispensable role in virtual reality (VR) and augmented reality (AR). Binaural audio recreates the sensation of the three dimensional auditory experience using Head- Related Transfer Functions (HRTFs). HRTFs are as unique as our fingerprint. To achieve an immersive audio exp…

Cited by 7SourceScholar
2017

Multiple parallel branch with folding architecture for multichannel filtered-x least mean square algorithm

ICASSP 2017accepted

Multichannel active noise control (MCANC) systems are commonly used in acoustic noise or vibration control, such as large-dimension ventilation ducts, open windows and mechanical structures. However, its computational load far exceeds the capabilities of digital signal processors (DSPs) and microcon…

Cited by 0SourceScholar
2016

Fast continuous HRTF acquisition with unconstrained movements of human subjects

ICASSP 2016accepted

Head related transfer function (HRTF) is widely used in 3D audio reproduction, especially over headphones. Conventionally, HRTF database is acquired at discrete directions and the acquisition process is time-consuming. Recent works have been proposed to improve HRTF acquisition efficiency via contin…

Cited by 0SourceScholar
2015

Multi-shift principal component analysis based primary component extraction for spatial audio reproduction

ICASSP 2015accepted

In spatial audio analysis-synthesis, one of the key issues is to decompose a signal into primary and ambient components based on their spatial features. Principal component analysis (PCA) has been widely employed in primary component extraction, and shifted PCA (SPCA) is employed to enhance the prim…

Cited by 0SourceScholar
2015

On the preprocessing and postprocessing of HRTF individualization based on sparse representation of anthropometric features

ICASSP 2015accepted

Individualization of head-related transfer functions (HRTFs) can be realized using the person's anthropometry with a pretrained model. This model usually establishes a direct linear or non-linear mapping from anthropometry to HRTFs in the training database. Due to the complex relation between anthro…

Cited by 0SourceScholar