An Improved Noise Reduction Technique for Enhancing the Intelligibility of Sinewave Vocoded Speech: Implication in Cochlear Implants

A cochlear implant (CI) is the most suitable option for individuals with severe profound hearing loss. CI restores the audibility to near perfection and offers good speech understanding in quiet. However, the speech perception in noise with CIs is less optimal as most speech coding strategies of CIs...

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Main Authors: Venkateswarlu Poluboina, Aparna Pulikala, Arivudai Nambi Pitchai Muthu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9999416/
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author Venkateswarlu Poluboina
Aparna Pulikala
Arivudai Nambi Pitchai Muthu
author_facet Venkateswarlu Poluboina
Aparna Pulikala
Arivudai Nambi Pitchai Muthu
author_sort Venkateswarlu Poluboina
collection DOAJ
description A cochlear implant (CI) is the most suitable option for individuals with severe profound hearing loss. CI restores the audibility to near perfection and offers good speech understanding in quiet. However, the speech perception in noise with CIs is less optimal as most speech coding strategies of CIs encode only the temporal envelope. Besides the current CI signal coding strategies lacks sophisticated pre-processing. In the current study, we proposed a novel pre-processing method to improve speech Intelligibility in noise and tested using the acoustic simulations of cochlear implants. The proposed noise reduction technique aims to minimize the mean square error (MSE) between the temporal envelopes of the enhanced speech and its clean speech. Therefore, the proposed method will be suitable for CI applications. This paper provides an analysis of the theoretical derivation of the noise suppression function and also the performance evaluation using objective and subjective tests. The effectiveness of the proposed method was objectively evaluated using the SRMR-CI and ESTOI. Additionally, speech recognition through the acoustic simulations of the cochlear implant was done for the subjective evaluation. Performance of the proposed method was compared with the Weiner filter (WF) and sigmoidal functions. The sinewave vocoder was used to simulate the cochlear implant perception. Both objective and subjective scores revealed that the performance of the proposed technique is superior to the WF and sigmoidal function.
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spelling doaj.art-72eb7f5fa159456d9cdca2ee40e8a73f2023-01-12T00:00:14ZengIEEEIEEE Access2169-35362023-01-011178779610.1109/ACCESS.2022.32325499999416An Improved Noise Reduction Technique for Enhancing the Intelligibility of Sinewave Vocoded Speech: Implication in Cochlear ImplantsVenkateswarlu Poluboina0https://orcid.org/0000-0003-2366-1752Aparna Pulikala1Arivudai Nambi Pitchai Muthu2Department of Electronics and Communication Engineering, National Institute of Technology Karnataka, Surathkal, Mangaluru, IndiaDepartment of Electronics and Communication Engineering, National Institute of Technology Karnataka, Surathkal, Mangaluru, IndiaDepartment of Audiology and Speech Language Pathology, Kasturba Medical College, Mangaluru, IndiaA cochlear implant (CI) is the most suitable option for individuals with severe profound hearing loss. CI restores the audibility to near perfection and offers good speech understanding in quiet. However, the speech perception in noise with CIs is less optimal as most speech coding strategies of CIs encode only the temporal envelope. Besides the current CI signal coding strategies lacks sophisticated pre-processing. In the current study, we proposed a novel pre-processing method to improve speech Intelligibility in noise and tested using the acoustic simulations of cochlear implants. The proposed noise reduction technique aims to minimize the mean square error (MSE) between the temporal envelopes of the enhanced speech and its clean speech. Therefore, the proposed method will be suitable for CI applications. This paper provides an analysis of the theoretical derivation of the noise suppression function and also the performance evaluation using objective and subjective tests. The effectiveness of the proposed method was objectively evaluated using the SRMR-CI and ESTOI. Additionally, speech recognition through the acoustic simulations of the cochlear implant was done for the subjective evaluation. Performance of the proposed method was compared with the Weiner filter (WF) and sigmoidal functions. The sinewave vocoder was used to simulate the cochlear implant perception. Both objective and subjective scores revealed that the performance of the proposed technique is superior to the WF and sigmoidal function.https://ieeexplore.ieee.org/document/9999416/Noise reductionspeech recognitioncochlear implantvocoder simulation
spellingShingle Venkateswarlu Poluboina
Aparna Pulikala
Arivudai Nambi Pitchai Muthu
An Improved Noise Reduction Technique for Enhancing the Intelligibility of Sinewave Vocoded Speech: Implication in Cochlear Implants
IEEE Access
Noise reduction
speech recognition
cochlear implant
vocoder simulation
title An Improved Noise Reduction Technique for Enhancing the Intelligibility of Sinewave Vocoded Speech: Implication in Cochlear Implants
title_full An Improved Noise Reduction Technique for Enhancing the Intelligibility of Sinewave Vocoded Speech: Implication in Cochlear Implants
title_fullStr An Improved Noise Reduction Technique for Enhancing the Intelligibility of Sinewave Vocoded Speech: Implication in Cochlear Implants
title_full_unstemmed An Improved Noise Reduction Technique for Enhancing the Intelligibility of Sinewave Vocoded Speech: Implication in Cochlear Implants
title_short An Improved Noise Reduction Technique for Enhancing the Intelligibility of Sinewave Vocoded Speech: Implication in Cochlear Implants
title_sort improved noise reduction technique for enhancing the intelligibility of sinewave vocoded speech implication in cochlear implants
topic Noise reduction
speech recognition
cochlear implant
vocoder simulation
url https://ieeexplore.ieee.org/document/9999416/
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