Heterophasic Binaural Differential Beamforming for Speech Intelligibility Improvement

Jin, Jilu; Chen, Jingdong; Benesty, Jacob; Wang, Yuzhu; Huang, Gongping

doi:10.1109/tvt.2020.3029374

Cited by 8 publications

(1 citation statement)

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“…Microphone arrays combined with proper beamforming methods have been used in a wide range of applications, such as hearing aids, smart headphones, smart speakers, voice communication, automatic speech recognition (ASR), human–machine interfaces, etc., to extract signals of interest from noisy observations. Many beamformers have been developed over the last few decades [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 ], among which the so-called superdirective beamformer [ 9 ] is particularly attractive. It is derived by maximizing the directivity factor (DF), which is equivalent to maximizing the gain in signal-to-noise ratio (SNR) in diffuse noise, subject to the distortionless constraint at the endfire direction.…”

Section: Introductionmentioning

confidence: 99%

Binaural Heterophasic Superdirective Beamforming

Wang

Chen

Benesty

et al. 2020

Sensors

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The superdirective beamformer, while attractive for processing broadband acoustic signals, often suffers from the problem of white noise amplification. So, its application requires well-designed acoustic arrays with sensors of extremely low self-noise level, which is difficult if not impossible to attain. In this paper, a new binaural superdirective beamformer is proposed, which is divided into two sub-beamformers. Based on studies and facts in psychoacoustics, these two filters are designed in such a way that they are orthogonal to each other to make the white noise components in the binaural beamforming outputs incoherent while maximizing the output interaural coherence of the diffuse noise, which is important for the brain to localize the sound source of interest. As a result, the signal of interest in the binaural superdirective beamformer’s outputs is in phase but the white noise components in the outputs are random phase, so the human auditory system can better separate the acoustic signal of interest from white noise by listening to the outputs of the proposed approach. Experimental results show that the derived binaural superdirective beamformer is superior to its conventional monaural counterpart.

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