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The use of virtual acoustics in the evaluation and development of binaural hearing aid algorithms
Author(s) -
Monika Rychtáriková,
Tim Van den Bogaert,
Gerrit Vermeir,
Koen Eneman,
Walter Lauriks,
Marc Moonen,
Jan Wouters
Publication year - 2008
Publication title -
the journal of the acoustical society of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 187
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/1.2935720
Subject(s) - binaural recording , computer science , acoustics , sound localization , speech recognition , intelligibility (philosophy) , software , noise reduction , room acoustics , psychoacoustics , impulse response , hearing aid , headphones , reverberation , perception , artificial intelligence , mathematics , mathematical analysis , philosophy , physics , epistemology , neuroscience , biology , programming language
The development of noise reduction algorithms for hearing aids (HA) is not longer only related to the improvement of signal to noise ratio, but also to the quality of hearing, e.g. binaural aspects of hearing. This is very important for the recognition of the localization of sound sources but also for an improved speech intelligibility in noisy situations due to spatial release from masking eects. New design and signal processing algorithms for binaural HA’s need to be tested and validated in dierent acoustical scenarios. As it is too laborious and time consuming to perform sucient numbers of perceptual evaluations in dierent rooms with dierent acoustical parameters, advanced acoustic modeling of dierent virtual acoustical environments might be needed. Virtual acoustics in our research relates to the convolution of the measured or simulated binaural signals (head related transfer functions - HRTF’s) with the impulse response generated from a computer model of a room (using ODEON R ∞ software) to simulate binaural sounds. This study investigates the usage of virtual acoustics in the framework of developing algorithms for binaural hearing aids. It evaluates and quantifies the fidelity of binaural signals generated by commercially available virtual acoustics software with respect to the localization of sound and speech intelligibility in dierent acoustical scenarios.

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