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Multi-microphone Noise Reduction System Integrating Nonlinear Multi-band Spectral Subtraction

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Pervasive Computing Paradigms for Mental Health (FABULOUS 2016, MindCare 2016, IIOT 2015)

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.

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References

  1. 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

    Google Scholar 

  2. Benesty, J., Chen, J., Huang, Y.: Microphone Array Signal Processing. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-78612-2

    Google Scholar 

  3. 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)

    Article  Google Scholar 

  4. 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)

    Article  Google Scholar 

  5. 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

  6. 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

  7. 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)

    Article  MATH  Google Scholar 

  8. 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)

    Google Scholar 

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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.

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Correspondence to Claudia Cristina Oprea .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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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

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  • DOI: https://doi.org/10.1007/978-3-319-74935-8_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74934-1

  • Online ISBN: 978-3-319-74935-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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