Consideration of the influences of the modal sound field with respect to the sound source localization results of the beamforming process in a vehicle interior

2019 ◽  
pp. 290-300
Author(s):  
Clemens Nau ◽  
Rob Opdam ◽  
Werner Moll ◽  
Michael Vorländer
Keyword(s):  
Source Localization ◽  
Sound Source ◽  
Sound Field ◽  
Sound Source Localization ◽  
Vehicle Interior

Spatial Hearing and Functional Auditory Skills in Children With Unilateral Hearing Loss

2021 ◽  
pp. 1-18
Author(s):  
Nicole E. Corbin ◽  
Emily Buss ◽  
Lori J. Leibold
Keyword(s):  
Hearing Loss ◽  
Speech Recognition ◽  
Source Localization ◽  
Sound Source ◽  
Sound Field ◽  
Spatial Hearing ◽  
Parent Report ◽  
Sound Source Localization ◽  
Unilateral Hearing Loss ◽  
Auditory Performance

Purpose The purpose of this study was to characterize spatial hearing abilities of children with longstanding unilateral hearing loss (UHL). UHL was expected to negatively impact children's sound source localization and masked speech recognition, particularly when the target and masker were separated in space. Spatial release from masking (SRM) in the presence of a two-talker speech masker was expected to predict functional auditory performance as assessed by parent report. Method Participants were 5- to 14-year-olds with sensorineural or mixed UHL, age-matched children with normal hearing (NH), and adults with NH. Sound source localization was assessed on the horizontal plane (−90° to 90°), with noise that was either all-pass, low-pass, high-pass, or an unpredictable mixture. Speech recognition thresholds were measured in the sound field for sentences presented in two-talker speech or speech-shaped noise. Target speech was always presented from 0°; the masker was either colocated with the target or spatially separated at ±90°. Parents of children with UHL rated their children's functional auditory performance in everyday environments via questionnaire. Results Sound source localization was poorer for children with UHL than those with NH. Children with UHL also derived less SRM than those with NH, with increased masking for some conditions. Effects of UHL were larger in the two-talker than the noise masker, and SRM in two-talker speech increased with age for both groups of children. Children with UHL whose parents reported greater functional difficulties achieved less SRM when either masker was on the side of the better-hearing ear. Conclusions Children with UHL are clearly at a disadvantage compared with children with NH for both sound source localization and masked speech recognition with spatial separation. Parents' report of their children's real-world communication abilities suggests that spatial hearing plays an important role in outcomes for children with UHL.

scholarly journals Spherical Reverse Beamforming for Sound Source Localization Based on the Inverse Method

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2618 ◽  
Author(s):  
Chao Sun ◽  
Yuechan Liu
Keyword(s):  
Source Localization ◽  
Sound Source ◽  
Background Noise ◽  
Inverse Method ◽  
Optimization Problem ◽  
Sound Field ◽  
Sound Source Localization ◽  
Sound Sources ◽  
Sound Field Reconstruction ◽  
Array Aperture

A spherical array is not limited to providing an acoustic map in all directions by the azimuth of the array. In this paper, spherical reverse beamforming for sound source localization based on spherical harmonic beamforming and the principle of sound field reconstruction is proposed in order to output a sharper scanning beam. It is assumed that there is an imaginary sound source at each scan point, and the acoustic map of a spherical array to the actual sound source is regarded as the combination of all of the imaginary sound sources. Sound source localization can be realized by calculating the contribution of each imaginary sound source to the sound field. Also in this work, the non-convex constrained optimization problem is established using p-norm. Combined with the norm method, the sparse solution of the imaginary sources is obtained through iterative weighted techniques, and the resolution of sound source localization is improved significantly. The performance of this method is investigated in comparison to conventional spherical beamforming. The numerical results show that the proposed method can achieve higher resolution for the localization of sound sources without being limited by the frequency and array aperture, and has a stronger ability to suppress fluctuations in background noise.

scholarly journals Interior Sound Field Subjective Evaluation Based on the 3D Distribution of Sound Quality Objective Parameters and Sound Source Localization

Materials ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 429
Author(s):  
Jiangming Jin ◽  
Hao Cheng ◽  
Tianwei Xie ◽  
Huancai Lu
Keyword(s):  
Source Localization ◽  
Sound Source ◽  
Sound Pressure ◽  
Low Frequency ◽  
Sound Field ◽  
Sound Quality ◽  
Sound Source Localization ◽  
Frequency Noise ◽  
Sound Sources ◽  
Quality Objective

Controlling low frequency noise in an interior sound field is always a challenge in engineering, because it is hard to accurately localize the sound source. Spherical acoustic holography can reconstruct the 3D distributions of acoustic quantities in the interior sound field, and identify low-frequency sound sources, but the ultimate goal of controlling the interior noise is to improve the sound quality in the interior sound field. It is essential to know the contributions of sound sources to the sound quality objective parameters. This paper presents the mapping methodology from sound pressure to sound quality objective parameters, where sound quality objective parameters are calculated from sound pressure at each specific point. The 3D distributions of the loudness and sharpness are obtained by calculating each point in the entire interior sound field. The reconstruction errors of those quantities varying with reconstruction distance, sound frequency, and intersection angle are analyzed in numerical simulation for one- and two-monopole source sound fields. Verification experiments have been conducted in an anechoic chamber. Simulation and experimental results demonstrate that the sound source localization results based on 3D distributions of sound quality objective parameters are different from those based on sound pressure.

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