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Evaluation of a multi-channel algorithm for reducing transient sounds.

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Keshavarzi, Mahmoud  ORCID logo
Baer, Thomas 


OBJECTIVE: The objective was to evaluate and select appropriate parameters for a multi-channel transient reduction (MCTR) algorithm for detecting and attenuating transient sounds in speech. DESIGN: In each trial, the same sentence was played twice. A transient sound was presented in both sentences, but its level varied across the two depending on whether or not it had been processed by the MCTR and on the "strength" of the processing. The participant indicated their preference for which one was better and by how much in terms of the balance between the annoyance produced by the transient and the audibility of the transient (they were told that the transient should still be audible). STUDY SAMPLE: Twenty English-speaking participants were tested, 10 with normal hearing and 10 with mild-to-moderate hearing-impairment. Frequency-dependent linear amplification was provided for the latter. RESULTS: The results for both participant groups indicated that sounds processed using the MCTR were preferred over the unprocessed sounds. For the hearing-impaired participants, the medium and strong settings of the MCTR were preferred over the weak setting. CONCLUSIONS: The medium and strong settings of the MCTR reduced the annoyance produced by the transients while maintaining their audibility.



Hearing aid, acoustic annoyance, multi-channel analysis, preference judgement, transient noise reduction, Acoustic Stimulation, Algorithms, Audiometry, Speech, Auditory Threshold, Correction of Hearing Impairment, Hearing, Hearing Aids, Hearing Loss, Humans, Irritable Mood, Noise, Patient Preference, Perceptual Masking, Persons With Hearing Impairments, Signal Processing, Computer-Assisted, Speech Perception

Journal Title

Int J Audiol

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Informa UK Limited
Engineering and Physical Sciences Research Council (EP/M026957/1)
HB Allen Charitable Trust (unknown)
Medical Research Council (G0701870)
Medical Research Council (G8717539)