A Study of Adaptive WDRC in Hearing Aids under Noisy Conditions

Authors

  • Ying-Hui Lai Research Center for Information Technology Innovation, Academia Sinica, Nankang, Taipei 11529, Taiwan
  • Yu Tsao Research Center for Information Technology Innovation, Academia Sinica, Nankang, Taipei 11529, Taiwan
  • Fei Chen Division of Speech and Hearing Sciences, The University of Hong Kong, Prince Philip Dental Hospital, 34 Hospital Road, Hong Kong

DOI:

https://doi.org/10.12970/2311-1917.2013.01.02.1

Keywords:

 Adaptive WDRC, GMAPA, speech enhancement, hearing aids, NAL-NL1.

Abstract

Background noise poses a great challenge to the speech recognition capability of hearing-impaired patients fitted with hearing aid (HA) devices. In an HA system, a speech enhancement unit is generally employed to enhance the signal-to-noise ratio (SNR) of noisy speech in order to yield better speech understanding for HA users in noisy conditions. However, previous studies reported that a subsequent static amplification scheme, such as wide-dynamic-range compression (WDRC), may deteriorate the enhanced speech and thus decrease the speech recognition capability. This work examines the performance of a recently proposed adaptive WDRC (AWDRC) amplification scheme when used in conjunction with a speech enhancement method in HA signal processing. Experimental results demonstrate that when integrated with the same speech enhancement method, AWDRC outperforms WDRC, in terms of long-term SNRs, at several typical hearing loss conditions. The results suggest that AWDRC can be a better choice than WDRC when combining with speech enhancement to improve speech recognition capabilities for HA users in noisy conditions.

References

Dillon H. Hearing aids (2nd), Chapter 1: introductory concepts, Thieme 2012; pp. 1-19.

Chen F, Loizou PC. Impact of SNR and gain-function over-and under-estimation on speech intelligibility. Speech Commun 2012; 54: 272-81. http://dx.doi.org/10.1016/j.specom.2011.09.002

Levitt H. Noise reduction in hearing aids: an overview. J Rehabil Res Dev 2001; 38: 111-21.

Chung K. Challenges and recent developments in hearing aids part I. Speech understanding in noise, microphone technologies and noise reduction algorithms. Trends Amplif 2004; 8: 83-124. http://dx.doi.org/10.1177/108471380400800302

Schaub A. Digital hearing aids, Chapter 4: basic amplification schemes, Thieme 2008; pp. 39-50.

Hudspeth A. Making an effort to listen: mechanical amplification in the ear. Neuron 2008; 59: 530-45. http://dx.doi.org/10.1016/j.neuron.2008.07.012

Venema T. Compression for clinicians, Chapter 4. Compression and the DSL and NAL-NL1 fitting methods. Thomson Delmar Learning 2006; pp. 64-92.

Souza PE. Effects of compression on speech acoustics, intelligibility, and sound quality. Trends Amplif 2002; 6: 131-65. http://dx.doi.org/10.1177/108471380200600402

Souza PE, Jenstad LM, Boike KT. Measuring the acoustic effects of compression amplification on speech in noise. J Acoust Soc Am 2006; 119: 41-4. http://dx.doi.org/10.1121/1.2108861

Naylor G, Johannesson RB. Long-term signal-to-noise ratio at the input and output of amplitude-compression systems. J Am Adad Audiol 2009; 20: 161-71. http://dx.doi.org/10.3766/jaaa.20.3.2

Goldstein JL. Hearing aids based on models of cochlear compression using adaptive compression thresholds, Google Patents 2005.

Lai YH, Li PC, Tsai KS, et al. Measuring the long-term SNRs of static and adaptive compression amplification techniques for speech in noise. J Am Acad Audiol 2013; 24: 671-83. http://dx.doi.org/10.3766/jaaa.24.8.4

Chung K. Effective compression and noise reduction configurations for hearing protectors. J Acoust Soc Am 2007; 121: 1090-1101. http://dx.doi.org/10.1121/1.2409859

Haykin SS. Adaptive Filter Theory, 4th ed., Chapter 2: Pearson Education India 2005.

Chen J. Fundamentals of Noise Reduction in Spring Handbook of Speech Processing. Springer 2008.

Su YC, Tsao Y, Wu JE, Jean FR. Speech enhancement using generalized maximum a posteriori spectral amplitude estimator. In ICASSP, Vancouver, BC, Canada 2013; pp. 7467-71.

Lai YH, Su YC, Tsao Y, et al. Evaluation of generalized maximum a posteriori spectral amplitude (GMAPA) speech enhancement algorithm in hearing aids. In ISCE, Hsinchu, Taiwan 2013; pp. 245-46.

Byrne D, Dillon H, Ching T, et al. NAL-NL1 procedure for fitting nonlinear hearing aids: Characteristics and comparisons with other procedures. J Am Acad Audiol 2001; 12: 37-51.

Keidser G, Brew C, Peck A. How proprietary fitting algorithms compare to each other and to some generic algorithms. Hearing J 2003; 56: 28-38. http://dx.doi.org/10.1097/01.HJ.0000293014.56004.ee

Dillon H. NAL-NL1: A new procedure for fitting non-linear hearing aids. Hearing J 1999; 52: 10-2. http://dx.doi.org/10.1097/00025572-199904000-00002

Hagerman B, Olofsson A. A method to measure the effect of noise reduction algorithms using simultaneous speech and noise. Acta Acust United Ac 2004; 90: 356-61.

Drullman R. Temporal envelope and fine structure cues for speech intelligibility. J Acoust Soc Am 1995; 97: 585-92. http://dx.doi.org/10.1121/1.413112

Hohmann V, Kollmeier B. The effect of multichannel dynamic compression on speech intelligibility. J Acoust Soc Am 1995; 97: 1191-5. http://dx.doi.org/10.1121/1.413092

Shannon RV, Zeng F-G, Kamath V, et al. Speech recognition with primarily temporal cues. Science 1995; 270: 303-4. http://dx.doi.org/10.1126/science.270.5234.303

Smith ZM, Delgutte B, Oxenham AJ. Chimaeric sounds reveal dichotomies in auditory perception. Nature 2002; 416: 87-90. http://dx.doi.org/10.1038/416087a

Healy EW, Warren RM. The role of contrasting temporal amplitude patterns in the perception of speech. J Acoust Soc Am 2003; 113: 1676-88. http://dx.doi.org/10.1121/1.1553464

Souza PE, Boike KT. Combining temporal-envelope cues across channels: Effects of age and hearing loss. J Speech Lang Hear Res 2006; 49: 138-49. http://dx.doi.org/10.1044/1092-4388(2006/011)

Kates JM, Arehart KH. Coherence and the speech intelligibility index. J Acoust Soc Am 2005; 117: 2224-37. http://dx.doi.org/10.1121/1.1862575

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Published

2013-06-02

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