|Table of Contents|

[1] Guo Ruxue, Zhao Li, Liang Ruiyu, Zou Cairong, et al. Efficient design method of non-uniform cosine modulatedfilter bank for digital hearing aids [J]. Journal of Southeast University (English Edition), 2017, 33 (2): 140-144. [doi:10.3969/j.issn.1003-7985.2017.02.003]

Efficient design method of non-uniform cosine modulatedfilter bank for digital hearing aids()

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

2017 2
Research Field:
Information and Communication Engineering
Publishing date:


Efficient design method of non-uniform cosine modulatedfilter bank for digital hearing aids
Guo Ruxue1 Zhao Li1 Liang Ruiyu1 2 Zou Cairong1 3
1School of Information Science and Engineering, Southeast University, Nanjing 210096, China
2School of Communication Engineering, Institute of Nanjing Technology, Nanjing 211167, China
3School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou 510006 China
digital hearing aids cosine modulated filter bank(CMFB) non-uniform filter bank speech quality
To promote the performance of the traditional multi-channel filter bank which leads to speech quality degradation, an efficient design method of the non-uniform cosine modulated filter bank(CMFB)based on the audiogram for digital hearing aids is proposed. First, a low-pass prototype filter is designed by the linear iterative algorithm. Secondly, the uniform CMFB is achieved on the basis of the principle formulas. Then, the adjacent channels of a uniform filter bank which have low or gradual slopes are merged according to the trend of audiogram of the hearing impaired person. Finally, the corresponding non-uniform CMFB is obtained. Simulation results show that the signal processed by the proposed filter bank is similar to the original signal in a time-domain waveform and spectrogram without significant distortion or difference. The speech quality results show that the personal evaluation of speech quality(PESQ)of non-uniform CMFB is 35% higher than that of the traditional design, and the hearing-aid speech quality index(HASQI)increases by about 40%.


[1] Öberg M, Marcusson J, Nägga K, et al. Hearing difficulties, uptake, and outcomes of hearing aids in people 85 years of age [J]. International Journal of Audiology, 2012, 51(2):108-115. DOI:10.3109/14992027.2011.622301.
[2] Zhao L, Zhang X R, Liang R Y, et al. Review on certain key algorithms of digital hearing aids[J]. Journal of Data Acquisition and Processing, 2015, 30(2):252-265.(in Chinese)
[3] Zou C R, Liang R Y, Xie Y. Research progress and outlook of speech processing algorithms for digital hearing aids[J]. Journal of Data Acquisition and Processing, 2016, 31(2):242-251.(in Chinese)
[4] Liu C W, Chang K C, Chuang M H, et al. 10-ms 18-band quasi-ANSI S1.11 1/3-octave filter bank for digital hearing aids[J]. IEEE Transactions on Circuits and Systems Ⅰ: Regular Papers, 2013, 60(3):638-649. DOI:10.1109/tcsi.2012.2209731.
[5] Huang S, Tian L, Ma X, et al. A reconfigurable sound wave decomposition filterbank for hearing aids based on nonlinear transformation[J]. IEEE Transactions on Biomedical Circuits and Systems, 2016, 10(2), 487-496. DOI:10.1109/TBCAS.2015.2436916.
[6] Wei Y, Liu D. A reconfigurable digital filter bank for hearing-aid systems with a variety of sound wave decomposition plans[J]. IEEE Transactions on Biomedical Engineering, 2013, 60(6):1628-1635. DOI:10.1109/TBME.2013.2240681.
[7] Wei Y, Wang Y. Design of low complexity adjustable. Filter bank for personalized hearing aid solutions[J]. IEEE/ACM Transactions on Audio Speech and Language Processing, 2015, 23(5):923-931. DOI:10.1109/taslp.2015.2409774.
[8] Haridas N, Elias E. Efficient variable bandwidth filters for digital hearing aid using Farrow structure[J]. Journal of Advanced Research, 2016, 7(2):255-262. DOI:10.1016/j.jare.2015.06.002.
[9] Chong K S, Gwee B H, Chang J S. A 16-channel low-power nonuniform spaced filter bank core for digital hearing aids[J]. IEEE Transactions on Circuits & Systems Ⅱ: Express Briefs, 2006, 53(9):853-857. DOI:10.1109/tcsii.2006.881821.
[10] Selesnick I W, Burrus C S. Exchange algorithms that complement the Parks-McClellan algorithm for linear-phase FIR filter design[J]. IEEE Transactions on Circuits and Systems Ⅱ: Analog and Digital Signal Processing, 1997, 44(2):137-143. DOI:10.1109/tcsii.2006.881821.
[11] Ji F, Xi X, Chen A T, et al. The equivalence study of Mandarin monosyllable lists[J]. Chinese Journal of Otology, 2008, 6(1):17-20.
[12] Cao L T, Li R W, Shi Y Q, et al. Loudness compensation method based on human auditory for digital hearing aids[C]//International Conference on Biomedical Engineering and Informatics. Dalian, China 2014:335-340.
[13] Chen H L, Cheng G G. Novel design of perfect reconstructed quadrature mirror IIR filter banks[J]. Computer Science, 2009, 36(8):92-84.(in Chinese)
[14] Kates J M, Arehart K H. The hearing-aid speech perception index(HASPI)[J]. Speech Communication, 2014, 65:75-93. DOI:10.1016/j.specom.2014.06.002.


Biographies: Guo Ruxue(1993—), female, graduate; Zhao Li(corresponding author), male, doctor, professor, zhaoli@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.61375028, 61673108), China Postdoctoral Science Foundation(No.2016M601696), Qing Lan Project, the Program for Special Talent in Six Fields of Jiangsu Province(No.2016-DZXX-023), Jiangsu Planned Projects for Postdoctoral Research Funds(No.1601011B).
Citation: Guo Ruxue, Zhao Li, Liang Ruiyu, et al. Efficient design method of non-uniform cosine modulated filter bank for digital hearing aids [J].Journal of Southeast University(English Edition), 2017, 33(2):140-144.DOI:10.3969/j.issn.1003-7985.2017.02.003.
Last Update: 2017-06-20