[1] Wang Xia, Liang Ruiyu, Wang Qingyun, Shen Hongming, et al. An adaptive multichannel loudness compensation method [J]. Journal of Southeast University (English Edition), 2016, 32 (2): 141-145. [doi:10.3969/j.issn.1003-7985.2016.02.002]

Copy

An adaptive multichannel loudness compensation method()

Share：

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

32

Issue:

2016 2

Page:

141-145

Research Field:

Information and Communication Engineering

Publishing date:

2016-06-20

Info

Title:

An adaptive multichannel loudness compensation method

Author(s):

Wang Xia¹;  Liang Ruiyu²;  Wang Qingyun²;  Shen Hongming³;  Zhao Li¹;  Zou Cairong¹

¹Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing 210096, China
²School of Communication Engineering, Nanjing Institute of Technology, Nanjing 211167, China
³School of Electronic and Information, Nantong University, Nantong 226019, China

Keywords:

loudness compensation;  wide dynamic range compression;  gammatone filter banks;  hearing aids

PACS:

TN912.3

DOI:

10.3969/j.issn.1003-7985.2016.02.002

Abstract:

To alleviate the conflict between audibility and distortion in the conventional loudness compensation method, an adaptive multichannel loudness compensation method is proposed for hearing aids. The linear and wide dynamic range compression(WDRC)methods are alternately employed according to the dynamic range of the band-passed signal and the hearing range(HR)of the patient. To further reduce the distortion caused by the WDRC and improve the output signal to noise ratio(SNR)under noise conditions, an adaptive adjustment of the compression ratio is presented. Experimental results demonstrate that the output SNR of the proposed method in babble noise is improved by at least 1.73 dB compared to the WDRC compensation method, and the average speech intelligibility is improved by 6.0% and 5.7%, respectively, compared to the linear and WDRC compensation methods.

References:

[1] Walden B E, Surr R K, Cord M T, et al. Comparison of benefits provided by different hearing aid technologies[J]. Journal of the American Academy of Audiology, 2000, 11(10): 540-560.
[2] Strelcyk O, Li N, Rodriguez J, et al. Multichannel compression hearing aids: Effect of channel bandwidth on consonant and vowel identification by hearing-impaired listeners[J]. The Journal of the Acoustical Society of America, 2013, 133(3): 1598-1606. DOI:10.1121/1.4789894.
[3] Marriage J E, Moore B C J, Stone M A, et al. Effects of three amplification strategies on speech perception by children with severe and profound hearing loss[J]. Ear and Hearing, 2005, 26(1): 35-47.
[4] Kates J M. Understanding compression: modeling the effects of dynamic-range compression in hearing aids[J]. International Journal of Audiology, 2010, 49(6):395-409. DOI:10.3109/14992020903426256.
[5] Kates J M. A hearing aid with improved compression: Europe, 12165500.5[P]. 2013-10-30.
[6] Souza P E, Jenstad L M, Boike K T. Measuring the acoustic effects of compression amplification on speech in noise[J]. The Journal of the Acoustical Society of America, 2006, 119(1): 41-44.
[7] Cao L, Li R, Shi Y, et al. Loudness compensation method based on human auditory for digital hearing aids[C]//2014 7th International Conference on Biomedical Engineering and Informatics (BMEI). Dalian, China, 2014: 335-340.
[8] Rasetshwane D M, Gorga M P, Neely S T. Signal-processing strategy for restoration of cross-channel suppression in hearing-impaired listeners[J]. IEEE Transactions on Biomedical Engineering, 2014, 61(1): 64-75. DOI:10.1109/TBME.2013.2276351.
[9] Smith J O Ⅲ, Abel J S. Bark and ERB bilinear transforms[J]. IEEE Transactions on Speech and Audio Processing, 1999, 7(6): 697-708. DOI:10.1109/89.799695.
[10] Glasberg B R, Moore B C J. Derivation of auditory filter shapes from notched-noise data[J]. Hearing Research, 1990, 47(1): 103-138.
[11] Santos J F, Cosentino S, Hazrati O, et al. Objective speech intelligibility measurement for cochlear implant users in complex listening environments[J]. Speech Communication, 2013, 55(7): 815-824. DOI:10.1016/j.specom.2013.04.001.
[12] Biesmans W, Vanthornhout J, Wouters J, et al. Comparison of speech envelope extraction methods for EEG-based auditory attention detection in a cocktail party scenario[C]//37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society(EMBC). Milan, Italy, 2015: 5155-5158.
[13] Zhang H. Hearing aids[M]. Beijing: People’s Medical Publishing House, 2004:8-12.(in Chinese)
[14] Levitt H. Compression amplification[M]//Compression: From Cochlea to Cochlear Implants. New York: Springer-Verlag, 2004: 153-183.

Memo

Memo:

Biographies: Wang Xia(1980—), female, graduate; Zhao Li(corresponding author), male, doctor, professor, zhaoli@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.61301219, 61375028, 61273266), the Natural Science Foundation of Jiangsu Province(No.BK20130241), the Fundamental Research Funds for the Central Universities(No.2242013K30010), the Science and Technology Program of Nantong(No.BK2014002).
Citation: Wang Xia, Liang Ruiyu, Wang Qingyun, et al.An adaptive multichannel loudness compensation method[J].Journal of Southeast University(English Edition), 2016, 32(2):141-145.doi:10.3969/j.issn.1003-7985.2016.02.002.

Common functions