Research of front-end speech enhancement and beamforming algorithm based on dual microphoneforcochlear implant_Journal of Biomedical Engineering

Authors：

CHEN Yousheng ,  CHEN Yan

Shenzhen Institute of Information Technology, Shenzhen, Guangdong 518000, P.R.China;

Corresponding author：

CHEN Yan, Email: chenyan@sziit.edu.cn

Keywords：

cochlear implant; speech enhancement; beamforming; dual microphone

DOI：

10.7507/1001-5515.201810025

Video：

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Abstract Full text Figures/Tables Video References Cited by

Speech enhancement methods based on microphone array adopt many microphones to record speech signal simultaneously. As spatial information is increased, these methods can increase speech recognition for cochlear implant in noisy environment. Due to the size limitation, the number of microphones used in the cochlear implant cannot be too large, which limits the design of microphone array beamforming. To balance the size limitation of cochlear implant and the spatial orientation information of the signal acquisition, we propose a speech enhancement and beamforming algorithm based on dual thin uni-directional / omni-directional microphone pairs (TP) in this paper. Each TP microphone contains two sound tubes for signal acquisition, which increase the overall spatial orientation information. In this paper, we discuss the beamforming characteristics with different gain vectors and the influence of the inter-microphone distance on beamforming, which provides valuable theoretical analysis and engineering parameters for the application of dual microphone speech enhancement technology in cochlear implants.

Citation： CHEN Yousheng, CHEN Yan. Research of front-end speech enhancement and beamforming algorithm based on dual microphoneforcochlear implant. Journal of Biomedical Engineering, 2019, 36(3): 468-477. doi: 10.7507/1001-5515.201810025 Copy

1.	陈又圣, 王健, 薛国伟, 等. 电子耳蜗CIS言语处理策略参数特征研究. 深圳信息职业技术学院学报, 2017, 15(3): 12-18.
2.	Jiang T, Gong Q. Development of the in-vivo system of the cochlear implant debugging platform based on embedded pulse control mode. Chin J Sci Instru, 2015, 36(7): 1673-1680.
3.	Chen Y S, Xue G W, Zhang P, et al. Resarch on least square interpolation based fractional delay and mismatch for cochlear implant. Int J Biomed Eng, 2017, 40(6): 457-464.
4.	Zeng Fangang. Challenges in improving cochlear implant performance and accessibility. IEEE Trans Biomed Eng, 2017, 64(8): 1662-1664.
5.	Chung K, Zeng F G. Using hearing aid adaptive directional microphone to enhance cochlear implant performance. Hear Res, 2009, 250(2): 27-37.
6.	Chen Yousheng, Gong Qin. Broadband beamforming compensation algorithm in CI front-end acquisition. Biomed Eng Online, 2013, 12(1): 18.
7.	Zeng F G. Trends in cochlear implant. Trends Amplif, 2004, 8(1): 1-34.
8.	Li Xingxing, Wang Dangwei, Ma Xiaoyan, et al. Robust adaptive beamforming using iterative variable loaded sample matrix inverse. Electron Lett, 2018, 54(9): 546-548.
9.	Zohourian M, Enzner G, Martin R. Binaural speaker localization integrated into an adaptive beamformer for hearing Aids. IEEE-ACM Transactions on Audio Speech and Language Processing, 2018, 26(3): 515-528.
10.	Xiao Jinjun, Luo Zhiquan, Merks I, et al. A robust adaptive binaural beamformer for hearing devices//51st Asilomar Conference on Signals, Systems, and Computers (ACSSC 2017). Pacific Grove: Institute of Electrical and Electronics Engineers Inc., 2017: 1885-1889.
11.	Lockwood M E, Jones D L, Bilger R C, et al. Performance of time- and frequency-domain binaural beamformers based on recorded signals from real rooms. Journal of the Acoustical Society of America, 2004, 115(1): 379-391.
12.	Ehlers E, Goupell M J, Zheng Yi, et al. Binaural sensitivity in children who use bilateral cochlear implants. Journal of the Acoustical Society of America, 2017, 141(6): 4264-4277.
13.	Lopez-Poveda E A, Eustaquio-Martin A, Stohl J S, et al. Intelligibility in speech maskers with a binaural cochlear implant sound coding strategy inspired by the contralateral medial olivocochlear reflex. Hear Res, 2017, 348: 134-137.
14.	Gong Qin, Chen Yousheng. Parameter selection methods of delay and beamforming for cochlear implant speech enhancement. Acoust Phys, 2011, 57(4): 542-550.
15.	Kates J M, Weiss M R. A comparison of hearing-aid array-processing techniques. J Acoust Soc Amer, 1996, 99: 3138-3148.
16.	Chen Yousheng, Gong Qin. Real-time spectrum estimation-based dual-channel speech-enhancement algorithm for cochlear implant. Biomed Eng Online, 2012, 11: 74.
17.	Nelson P B, Jin S B, Carney A E. Understanding speech in modulated interference: cochlaer implant users and normal-hearing listeners. J Acoust Soc Amer, 2003, 113(2): 961-968.

1. 陈又圣, 王健, 薛国伟, 等. 电子耳蜗CIS言语处理策略参数特征研究. 深圳信息职业技术学院学报, 2017, 15(3): 12-18.
2. Jiang T, Gong Q. Development of the in-vivo system of the cochlear implant debugging platform based on embedded pulse control mode. Chin J Sci Instru, 2015, 36(7): 1673-1680.
3. Chen Y S, Xue G W, Zhang P, et al. Resarch on least square interpolation based fractional delay and mismatch for cochlear implant. Int J Biomed Eng, 2017, 40(6): 457-464.
4. Zeng Fangang. Challenges in improving cochlear implant performance and accessibility. IEEE Trans Biomed Eng, 2017, 64(8): 1662-1664.
5. Chung K, Zeng F G. Using hearing aid adaptive directional microphone to enhance cochlear implant performance. Hear Res, 2009, 250(2): 27-37.
6. Chen Yousheng, Gong Qin. Broadband beamforming compensation algorithm in CI front-end acquisition. Biomed Eng Online, 2013, 12(1): 18.
7. Zeng F G. Trends in cochlear implant. Trends Amplif, 2004, 8(1): 1-34.
8. Li Xingxing, Wang Dangwei, Ma Xiaoyan, et al. Robust adaptive beamforming using iterative variable loaded sample matrix inverse. Electron Lett, 2018, 54(9): 546-548.
9. Zohourian M, Enzner G, Martin R. Binaural speaker localization integrated into an adaptive beamformer for hearing Aids. IEEE-ACM Transactions on Audio Speech and Language Processing, 2018, 26(3): 515-528.
10. Xiao Jinjun, Luo Zhiquan, Merks I, et al. A robust adaptive binaural beamformer for hearing devices//51st Asilomar Conference on Signals, Systems, and Computers (ACSSC 2017). Pacific Grove: Institute of Electrical and Electronics Engineers Inc., 2017: 1885-1889.
11. Lockwood M E, Jones D L, Bilger R C, et al. Performance of time- and frequency-domain binaural beamformers based on recorded signals from real rooms. Journal of the Acoustical Society of America, 2004, 115(1): 379-391.
12. Ehlers E, Goupell M J, Zheng Yi, et al. Binaural sensitivity in children who use bilateral cochlear implants. Journal of the Acoustical Society of America, 2017, 141(6): 4264-4277.
13. Lopez-Poveda E A, Eustaquio-Martin A, Stohl J S, et al. Intelligibility in speech maskers with a binaural cochlear implant sound coding strategy inspired by the contralateral medial olivocochlear reflex. Hear Res, 2017, 348: 134-137.
14. Gong Qin, Chen Yousheng. Parameter selection methods of delay and beamforming for cochlear implant speech enhancement. Acoust Phys, 2011, 57(4): 542-550.
15. Kates J M, Weiss M R. A comparison of hearing-aid array-processing techniques. J Acoust Soc Amer, 1996, 99: 3138-3148.
16. Chen Yousheng, Gong Qin. Real-time spectrum estimation-based dual-channel speech-enhancement algorithm for cochlear implant. Biomed Eng Online, 2012, 11: 74.
17. Nelson P B, Jin S B, Carney A E. Understanding speech in modulated interference: cochlaer implant users and normal-hearing listeners. J Acoust Soc Amer, 2003, 113(2): 961-968.

Journal of Biomedical Engineering

Research of front-end speech enhancement and beamforming algorithm based on dual microphoneforcochlear implant

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