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Improving word recognition in noise among hearing-impaired subjects with a single-channel cochlear noise-reduction algorithm.
J Acoust Soc Am. 2012 Sep; 132(3):1718-31.JA

Abstract

A common complaint of the hearing impaired is the inability to understand speech in noisy environments even with their hearing assistive devices. Only a few single-channel algorithms have significantly improved speech intelligibility in noise for hearing-impaired listeners. The current study introduces a cochlear noise reduction algorithm. It is based on a cochlear representation of acoustic signals and real-time derivation of a binary speech mask. The contribution of the algorithm for enhancing word recognition in noise was evaluated on a group of 42 normal-hearing subjects, 35 hearing-aid users, 8 cochlear implant recipients, and 14 participants with bimodal devices. Recognition scores of Hebrew monosyllabic words embedded in Gaussian noise at several signal-to-noise ratios (SNRs) were obtained with processed and unprocessed signals. The algorithm was not effective among the normal-hearing participants. However, it yielded a significant improvement in some of the hearing-impaired subjects under different listening conditions. Its most impressive benefit appeared among cochlear implant recipients. More than 20% improvement in recognition score of noisy words was obtained by 12, 16, and 26 hearing-impaired at SNR of 30, 24, and 18 dB, respectively. The algorithm has a potential to improve speech intelligibility in background noise, yet further research is required to improve its performances.

Authors+Show Affiliations

Department of Bio-Medical Engineering, Faculty of Engineering, Tel-Aviv University, Israel.No affiliation info availableNo affiliation info available

Pub Type(s)

Evaluation Study
Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

22978899

Citation

Fink, Nir, et al. "Improving Word Recognition in Noise Among Hearing-impaired Subjects With a Single-channel Cochlear Noise-reduction Algorithm." The Journal of the Acoustical Society of America, vol. 132, no. 3, 2012, pp. 1718-31.
Fink N, Furst M, Muchnik C. Improving word recognition in noise among hearing-impaired subjects with a single-channel cochlear noise-reduction algorithm. J Acoust Soc Am. 2012;132(3):1718-31.
Fink, N., Furst, M., & Muchnik, C. (2012). Improving word recognition in noise among hearing-impaired subjects with a single-channel cochlear noise-reduction algorithm. The Journal of the Acoustical Society of America, 132(3), 1718-31. https://doi.org/10.1121/1.4739441
Fink N, Furst M, Muchnik C. Improving Word Recognition in Noise Among Hearing-impaired Subjects With a Single-channel Cochlear Noise-reduction Algorithm. J Acoust Soc Am. 2012;132(3):1718-31. PubMed PMID: 22978899.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Improving word recognition in noise among hearing-impaired subjects with a single-channel cochlear noise-reduction algorithm. AU - Fink,Nir, AU - Furst,Miriam, AU - Muchnik,Chava, PY - 2012/9/18/entrez PY - 2012/9/18/pubmed PY - 2013/2/6/medline SP - 1718 EP - 31 JF - The Journal of the Acoustical Society of America JO - J Acoust Soc Am VL - 132 IS - 3 N2 - A common complaint of the hearing impaired is the inability to understand speech in noisy environments even with their hearing assistive devices. Only a few single-channel algorithms have significantly improved speech intelligibility in noise for hearing-impaired listeners. The current study introduces a cochlear noise reduction algorithm. It is based on a cochlear representation of acoustic signals and real-time derivation of a binary speech mask. The contribution of the algorithm for enhancing word recognition in noise was evaluated on a group of 42 normal-hearing subjects, 35 hearing-aid users, 8 cochlear implant recipients, and 14 participants with bimodal devices. Recognition scores of Hebrew monosyllabic words embedded in Gaussian noise at several signal-to-noise ratios (SNRs) were obtained with processed and unprocessed signals. The algorithm was not effective among the normal-hearing participants. However, it yielded a significant improvement in some of the hearing-impaired subjects under different listening conditions. Its most impressive benefit appeared among cochlear implant recipients. More than 20% improvement in recognition score of noisy words was obtained by 12, 16, and 26 hearing-impaired at SNR of 30, 24, and 18 dB, respectively. The algorithm has a potential to improve speech intelligibility in background noise, yet further research is required to improve its performances. SN - 1520-8524 UR - https://www.unboundmedicine.com/medline/citation/22978899/Improving_word_recognition_in_noise_among_hearing_impaired_subjects_with_a_single_channel_cochlear_noise_reduction_algorithm_ DB - PRIME DP - Unbound Medicine ER -