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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Kumar, N., Singh, A., et al.: Study of microphone array characteristics and noise reduction. Int. J. Appl. Eng. Res. 13(12 Pt.5), 10826–10830 (2018)
Chen, Y.Y.: Speech enhancement of mobile devices based on the integration of a dual microphone array and a background noise elimination algorithm. Sensors 18(5), 1467 (2018)
Chen, W., Mao, L., Xiang, K., et al.: The application of a linear microphone array in the quantitative evaluation of the blade trailing-edge noise reduction. Appl. Sci. 11(2), 572 (2021)
Schädler, M.R., Warzybok, A., Kollmeier, B.: Objective evaluation of binaural noise-reduction algorithms for the hearing-impaired in complex acoustic scenes. J. Acoust. Soc. Am. 141(5), 3971–3971 (2017)
Zhao, S., Cheng, E., Qiu, X., et al.: Spatial decorrelation of wind noise with porous microphone windscreens. Acoust. Soc. Am. J. 143(1), 330–339 (2018)
Yee, D., Kamkar-Parsi, H., Martin, R., et al.: A noise reduction postfilter for binaurally linked single-microphone hearing aids utilizing a nearby external microphone. IEEE/ACM Trans. Audio Speech Lang. Process. 26(1), 5–18 (2017)
Li, M., et al.: A study on noise reduction for dual-energy CT material decomposition with autoencoder. Radiat. Detect. Technol. Meth. 3(3), 1–13 (2019). https://doi.org/10.1007/s41605-019-0122-2
Desjardins, J.L.: The effects of hearing aid directional microphone and noise reduction processing on listening effort in older adults with hearing loss. J. Am. Acad. Audiol. 27(1), 29–41 (2016)
Ando, A., Yamauchi, K., Onishi, K.: Noise reduction for sound capturing by creating spatial null sensitivity point. Acoust. Soc. Am. J. 140(4), 2966 (2016)
Hong, J., Park, S., Jeong, S., et al.: Dual-microphone noise reduction in car environments with determinant analysis of input correlation matrix. IEEE Sens. J. 16(9), 3131–3140 (2016)
Id, S.C.L., Wang, J.F., Chen, M.H.: Threshold-based noise detection and reduction for automatic speech recognition system in human-robot interactions. Sensors 18(7), 2068 (2018)
Djendi, M., Sayoud, A.: A new dual subband fast NLMS adaptive filtering algorithm for blind speech quality enhancement and acoustic noise reduction. Int. J. Speech Technol. 22(2), 391–406 (2019). https://doi.org/10.1007/s10772-019-09614-9
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-89511-2_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-89510-5
Online ISBN: 978-3-030-89511-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)