Abstract
This paper presents a robust system to improve speech signals processed by communication systems. The system includes multi-microphone techniques, for which both spectral and spatial characteristics of the signal sources can be used. Also a spectral subtraction algorithm for noise reduction is integrated into the system. The modified spectral subtraction method takes into account the non-uniform effect of colored noise on the speech spectrum and improves the multi-microphone noise filtering.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Berouti, M., Schwartz, R., Makhoul, J.: Enhancement of speech corrupted by acoustic noise. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 208–211, April 1979
Benesty, J., Chen, J., Huang, Y.: Microphone Array Signal Processing. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-78612-2
Souden, M., Chen, J., Benesty, J., Affes, S.: An integrated solution for online multichannel noise tracking and reduction. IEEE Trans. Audio Speech Lang. Process. 19(7), 2159–2169 (2011)
Cornelis, B., Doclo, S., van dan Bogaert, T., Moonen, M., Wouters, J.: Theoretical analysis of binaural multimicrophone noise reduction techniques. IEEE Trans. Audio Speech Lang. Process. 18(2), 342–355 (2010)
Udrea, R.M., Ciochina, S.: Speech enhancement using spectral over-subtraction and residual noise reduction. In: International Symposium on Signals, Circuits and Systems, pp. 165–169. IEEE Press, Iasi, Romania (2003). https://doi.org/10.1109/SCS.2003.1226974
Kamath, S., Loizou, P.: A multi-band spectral subtraction method for enhancing speech corrupted by colored noise. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). IEEE Press, Orlando (2002). https://doi.org/10.1109/ICASSP.2002.5745591
Udrea, R.M., Vizireanu, N., Ciochina, S., Halunga, S.: Nonlinear spectral subtraction method for colored noise reduction using multi-band Bark scale. Sig. Process. 88(5), 1299–1303 (2008)
ITU-T, Perceptual evaluation of speech quality PESQ, an objective method for end-to-end speech quality assessment of narrowband telephone networks and speech codecs, ITU-T Recommendation P.862 (2000)
Acknowledgment
This work was supported by a grant of the Romanian National Authority for Scientific Research and Innovation, CNCS – UEFISCDI, project number PN-II-RU-TE-2014-4-1880.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Udrea, R.M., Oprea, C.C., Stanciu, C. (2018). Multi-microphone Noise Reduction System Integrating Nonlinear Multi-band Spectral Subtraction. In: Oliver, N., Serino, S., Matic, A., Cipresso, P., Filipovic, N., Gavrilovska, L. (eds) Pervasive Computing Paradigms for Mental Health. FABULOUS MindCare IIOT 2016 2016 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 207. Springer, Cham. https://doi.org/10.1007/978-3-319-74935-8_19
Download citation
DOI: https://doi.org/10.1007/978-3-319-74935-8_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-74934-1
Online ISBN: 978-3-319-74935-8
eBook Packages: Computer ScienceComputer Science (R0)