2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

Paper Detail

Paper IDAUD-28.5
Paper Title A parametric unconstrained binaural beamformer based noise reduction and spatial cue preservation for hearing-assistive devices
Authors Jie Zhang, University of Science and Technology of China, China
SessionAUD-28: Acoustic Sensor Array Processing 2: Beamforming
LocationGather.Town
Session Time:Friday, 11 June, 11:30 - 12:15
Presentation Time:Friday, 11 June, 11:30 - 12:15
Presentation Poster
Topic Audio and Acoustic Signal Processing: [AUD-SEN] Signal Enhancement and Restoration
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Virtual Presentation  Click here to watch in the Virtual Conference
Abstract For hearing-impaired users, it is required not only to enhance the target speech by suppressing ambient noises, but also to preserve the binaural cues of important directional sources, such that a complete spatial awareness of the acoustic scene is obtained. In this work, we propose a parametric unconstrained binaural (PUB) beamformer, which can achieve a trade-off between noise reduction and binaural cue preservation. The involved parameters are chosen to control the target distortion level and the preservation of interfering sources, respectively. Theoretical analysis shows that the conventional binaural beamformers can be seen as the special cases of the PUB description. Simulation results validate the superiority of the proposed method.