Multiband sound source localization algorithm for directional enhancement in hearing aids

In order to improve speech comprehension for hearing-impaired patients under complex scenarios, directional enhancement algorithm based on the sound location will be one of the future research directions. A multiband sound localization algorithm based on auditory bionics is proposed in this paper. First, according to the property of cochlear frequency-division and hearing-masking characteristic, the sound is divided into multiband signals. Then, the interaural time differences (ITDs) of the sensitive frequency bands are taken as the localization cues. To improve the location precision, the real ITD is extracted based on the Haas effect. Finally, the HRTF (head-related transfer function) model is used to convert the ITD to the sound position. To improve the robustness of the algorithm, a multiband weighted strategy is adopted. In addition, a parameter adjustment method is proposed to effectively fit the hearing aid. Simulation and scenario experiments show that the algorithm has strong anti-interference and high location accuracy. Furthermore, it is designed based on the existing algorithms for hearing aids and has low computation, so it is very suitable for hearing aids and other low-power real-time devices. © 2016 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

[1]  Pesus Chou,et al.  The Factors Associated with a Self-Perceived Hearing Handicap in Elderly People with Hearing Impairment—Results from a Community-Based Study , 2009, Ear and hearing.

[2]  Zhenyang Wu,et al.  Accelerated steered response power method for sound source localization using orthogonal linear array , 2010 .

[3]  Ennes Sarradj,et al.  A fast signal subspace approach for the determination of absolute levels from phased microphone array measurements , 2010 .

[4]  Bradley McPherson,et al.  Telehealth in audiology: The need and potential to reach underserved communities , 2010, International journal of audiology.

[5]  DeLiang Wang,et al.  Binaural tracking of multiple moving sources , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[6]  Martin Bouchard,et al.  Instantaneous Binaural Target PSD Estimation for Hearing Aid Noise Reduction in Complex Acoustic Environments , 2011, IEEE Transactions on Instrumentation and Measurement.

[7]  King Chung,et al.  Challenges and Recent Developments in Hearing Aids: Part I. Speech Understanding in Noise, Microphone Technologies and Noise Reduction Algorithms , 2004, Trends in amplification.

[8]  B. Shinn-Cunningham,et al.  Selective Attention in Normal and Impaired Hearing , 2008, Trends in amplification.

[9]  Shigeaki Aoki,et al.  A study on the precedence effect using evacuation signal , 2013 .

[10]  Karen J. Cruickshanks,et al.  Epidemiology of Age-Related Hearing Impairment , 2010 .

[11]  Shantanu Chakrabartty,et al.  Far-Field Acoustic Source Localization and Bearing Estimation Using $\Sigma\Delta$ Learners , 2010, IEEE Transactions on Circuits and Systems I: Regular Papers.

[12]  Volker Willert,et al.  A Probabilistic Model for Binaural Sound Localization , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[13]  Paul Mitchell,et al.  Incidence and predictors of hearing aid use and ownership among older adults with hearing loss. , 2011, Annals of epidemiology.

[14]  Gerhard Lakemeyer,et al.  Azimuthal sound localization using coincidence of timing across frequency on a robotic platform. , 2007, The Journal of the Acoustical Society of America.

[15]  Guy J. Brown,et al.  A computational model of auditory selective attention , 2004, IEEE Transactions on Neural Networks.

[16]  Tony Hsiu-Hsi Chen,et al.  Cost-Effectiveness of Hearing Aids in the Hearing-Impaired Elderly: A Probabilistic Approach , 2008, Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology.

[17]  Harald Viste,et al.  Binaural Source Localization by Joint Estimation of ILD and ITD , 2010, IEEE Transactions on Audio, Speech, and Language Processing.

[18]  C. Faller,et al.  Source localization in complex listening situations: selection of binaural cues based on interaural coherence. , 2004, The Journal of the Acoustical Society of America.

[19]  Josh H. McDermott The cocktail party problem , 2009, Current Biology.

[20]  Peter Vary,et al.  A Semi-Analytical Model for the Binaural Coherence of Noise Fields , 2011, IEEE Signal Processing Letters.

[21]  Guy J. Brown,et al.  Speech segregation based on sound localization , 2003 .

[22]  Shantanu Chakrabartty,et al.  Sigma-delta learning for super-resolution source separation on high-density microphone arrays , 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

[23]  Terry T Takahashi,et al.  The role of envelope shape in the localization of multiple sound sources and echoes in the barn owl. , 2013, Journal of neurophysiology.

[24]  H S Colburn,et al.  The precedence effect. , 1999, The Journal of the Acoustical Society of America.