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040 _cNational Acoustic Laboratories
100 _aLauner, Stefan
245 _aHearing aid signal processing
520 3 _aThis chapter reviews the general types of signal processing that are used in modern digital hearing aids. The focus is on concepts underlying the processing rather than on details of the implementation. The signal processing can be classified into three broad classes: (1) Processing to apply frequency- and level-dependent amplification to restore audibility and provide acceptable loudness, based on the hearing profile of the individual (usually the audiogram but sometimes taking into account the results of loudness scaling) and the preferences of the individual. Frequency lowering can be considered as an additional method for restoring the audibility of high-frequency sounds. (2) Sound cleaning, for example, partial removal of stationary noises or impulse sounds and reduction of acoustic feedback. Noise reduction may be achieved using both single-microphone and multiplemicrophone algorithms, but only the latter have been shown to improve intelligibility. (3) Environment classification for automatically controlling the settings of a hearing aid in different listening situations. It is concluded that modern hearing aids can be effective in restoring audibility and providing acceptable loudness and listening comfort, but they are still of limited effectiveness in improving the intelligibility of speech in noisy situations.
650 _aBeamforming • Binaural beamforming • Compression speed • Directional microphone • Environment classification • Frequency compression • Frequency lowering • Multichannel compression • Noise canceler • Noise reduction • Pinna simulation • Reverberation canceler • Signal processing • Spectral change
700 _a Justin A. Zakis
700 _a Brian C.J. Moore
773 _gVol. 56.Chapter 4
_tSpringer Handbook of auditory research. Hearing Aids.
856 _uhttp://dspace.nal.gov.au/xmlui/bitstream/handle/123456789/541/Hearing%20aid%20signal%20processing.pdf?sequence=1&isAllowed=y
942 _2udc
_cARTICLE