Objective and subjective evaluation of noise reduction algorithms for hearing aids

Authors

  • Vijay Parsa National Centre for Audiology, University of Western Ontario, London, Ont. N6G 1H1, Canada
  • Gurjit Singh National Centre for Audiology, University of Western Ontario, London, Ont. N6G 1H1, Canada
  • Guo Chen National Centre for Audiology, University of Western Ontario, London, Ont. N6G 1H1, Canada
  • Karthikeyan Umapathy National Centre for Audiology, University of Western Ontario, London, Ont. N6G 1H1, Canada

Keywords:

Algorithms, Database systems, Functions, Noise abatement, Signal to noise ratio, Speech processing, Hearing In Noise Test (HINT), Hearing-impairment, Power spectrum estimators, Speech-shaped noise (SSN)

Abstract

A study of the subjective and objective evaluation of noise reduction algorithms for hearing aids is presented. The quality of speech processed through six different noise reduction algorithms with normal hearing and hearing impaired listeners is evaluated. The instrumental measures of noise reduction performance that correlate best with the behavioural data is identified. The sound quality ratings are obtained using two sentences from the Hearing In Noise Test (HINT) database which are corrupted by either speech-shaped noise (SSN) or multi-talker babble (MTB) at SNRs ranging between -4dB to +12 dB.

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Published

2004-09-01

How to Cite

1.
Parsa V, Singh G, Chen G, Umapathy K. Objective and subjective evaluation of noise reduction algorithms for hearing aids. Canadian Acoustics [Internet]. 2004 Sep. 1 [cited 2021 Sep. 27];32(3):72-3. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1633

Issue

Section

Proceedings of the Acoustics Week in Canada

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