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Research on Four Acoustic Tube Signal Acquisition Based on Dual-Microphone Mode and Parameter Feature for Cochlear Implant

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Abstract

Front-end speech enhancement methods based on microphone array are helpful to improve the front-end signal quality and speech recognition in cochlear implant. However, the size constraint will limit the available quantity of microphones. In this paper, we propose a dual-microphone signal acquisition method based on four acoustic tubes, and analyze the signal acquisition characteristics and beamforming feature. We research four types of beamforming mode to suit to the speech enhancement demand for cochlear implant, and further summarize the corresponding beamforming direction feature and the influence of different inter-microphone distances. The algorithm proposed in this paper has the characteristics of low computation, few microphones, and multiple sound tubes, and can meet the de-noising requirements of various specific application scenarios of cochlear implant.

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Data Availability

The program data used in this study are available from the corresponding author on reasonable request.

Code Availability

The program code used in this study are available from the corresponding author on reasonable request.

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Acknowledgements

This work was support by the characteristic innovation projects of Guangdong Universities in 2019 under the grant No. 2019GKTSCX094.

Funding

This work was support by the characteristic innovation projects of Guangdong Universities in 2019 under the grant No. 2019GKTSCX094.

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Authors and Affiliations

  1. Shenzhen Institute of Information Technology, Shenzhen, 51800, China

    Yousheng Chen

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  1. Yousheng Chen
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Yousheng Chen initiated and conceived the algorithm, designed simulation experiments and analyzed the algorithm feature, he is the corresponding author and is responsible for revising this manuscript.

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Correspondence to Yousheng Chen.

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Chen, Y. Research on Four Acoustic Tube Signal Acquisition Based on Dual-Microphone Mode and Parameter Feature for Cochlear Implant. Wireless Pers Commun 132, 147–162 (2023). https://doi.org/10.1007/s11277-023-10604-z

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