• Dec 24, 2021 News!Vol 10, No 1- Vol 10, No 2 has been indexed by IET-(Inspec)   [Click]
  • Aug 27, 2020 News!Welcome Prof. D. P. Sharma from India to join the Editorial board of IJFCC     [Click]
  • Sep 05, 2023 News!Vol.12, No.3 has been published with online version.   [Click]
General Information

Prof. Pascal Lorenz
University of Haute Alsace, France
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.

IJFCC 2022 Vol.11(3): 61-66 ISSN: 2010-3751
DOI: 10.18178/ijfcc.2022.11.3.589

Combined Effect of Adaptive Wiener Filter and Spectral Splitting of Speech Signal in Improving Speech Intelligibility for Hearing Impaired People

Rajani S. Pujar

Abstract—The goal of this research is to look into the combined effect of an adaptive Wiener filter, frequency splitting, and amplitude compression on speech intelligibility for hearing impaired people in adverse listening environments. The adaptive Wiener filter is based on the adaptation of the filter frequency response from sample to sample depending on the voice signal statistics (mean and variance).The filter bank approach was modified to perform spectral splitting of the voice signal in order to lessen the influence of spectral masking. To address the issue of hearing loss, amplitude compression with a compression factor of 0.6 was used. As a result, the combined strategy aids in enhancing speech intelligibility for hearing-impaired individuals in noisy environments. To measure the intelligibility of processed speech, hearing-impaired subjects (moderate SNHL) were given the modified rhyming Test (MRT). The test procedure consists of 300 phrases. Each phrase is composed of consonant-vowel-consonant words (CVC). When compared to an adaptive Wiener filter, the results suggest that processing with a composite scheme improved speech intelligibility. With a lower SNR value of -6 dB, a maximum improvement in speech recognition score of 32.935 % was recorded.

Index Terms—Adaptive weiner filter, amplitude compression, frequency splitting, modified rhyme test.

Rajani S. Pujar is with Electronics and Communication Engineering Department, Basaveshwar Engineering College (Autonomous) Bagalkot-587102, Karnataka, India (e-mail: rajanisaachi@gmail.com).


Cite: Rajani S. Pujar , "Combined Effect of Adaptive Wiener Filter and Spectral Splitting of Speech Signal in Improving Speech Intelligibility for Hearing Impaired People ," International Journal of Future Computer and Communication vol. 11, no. 3, pp. 61-66, 2022.

Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Copyright © 2008-2023. International Journal of Future Computer and Communication. All rights reserved.
E-mail: ijfcc@ejournal.net