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An Improved Microphone Array Noise Reduction Algorithm for Speech Recognition

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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 98 ))

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Abstract

With the development of science and technology, the computing power of human electronic devices is increasing, which makes the application of array signal processing requiring large computing power in daily life possible. People have started to study and apply microphone array speech noise reduction technology. Microphone arrays can obtain spatial and temporal information of the signal while receiving speech signals, and the algorithm can use such information more flexibly to improve the noise reduction performance. In this paper, we introduce the adaptive noise reduction technology of microphone array for speech recognition, and optimize the RLS algorithm to design the QR-RLS algorithm without complex iterations. The simulation results show that the algorithm can effectively reduce noise for microphone array.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Sichuan Vocational and Technical College, Suining, Sichuan, China

    Li Qian & Qian Zhu

Authors
  1. Li Qian
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  2. Qian Zhu
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Editor information

Editors and Affiliations

  1. University of Sunderland, Sunderland, UK

    John Macintyre

  2. University of Shanghai for Science and Technology, Shanghai, China

    Jinghua Zhao

  3. Shenzhen University, Shenzen, China

    Xiaomeng Ma

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Qian, L., Zhu, Q. (2022). An Improved Microphone Array Noise Reduction Algorithm for Speech Recognition. In: Macintyre, J., Zhao, J., Ma, X. (eds) The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIoT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 98 . Springer, Cham. https://doi.org/10.1007/978-3-030-89511-2_16

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