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Improvement of minimum tracking in Minimum Statistics noise estimation method
Hassan Farsi
Pages - 17 - 22     |    Revised - 25-02-2010     |    Published - 26-03-2010
Volume - 4   Issue - 1    |    Publication Date - March 2010  Table of Contents
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KEYWORDS
End point Detection, Distributed Speech Recognition , Voice activity detection , Zero Cross Rating , Robust speech recognition , Volume
ABSTRACT
Noise spectrum estimation is a fundamental component of speech enhancement and speech recognition systems. In this paper we propose a new method for minimum tracking in Minimum Statistics (MS) noise estimation method. This noise estimation algorithm is proposed for highly nonstationary noise environments. This was confirmed with formal listening tests which indicated that the proposed noise estimation algorithm when integrated in speech enhancement was preferred over other noise estimation algorithms.
CITED BY (7)  
1 Li, J., Li, Z., Zhu, W., Chen, X., & Cheng, L. (2014). A new frequency-domain background noise power estimation algorithm. Simulation and Modelling Methodologies, Technologies and Applications, 60, 125.
2 Yu, Y., & Zhao, H. (2013). Improved of noise estimation algorithm based on minimum statistic. Jisuanji Gongcheng yu Yingyong(Computer Engineering and Applications), 49(4), 134-137.
3 Yu Yao, & Zhao Heming. (2013). An improved minimum statistical noise power spectrum estimation algorithm. Computer Engineering and Applications, 49 (4).
4 Kallel, F., Ghorbel, M., Frikha, M., Berger-Vachon, C., & Hamida, A. B. (2012). A noise cross PSD estimator based on improved minimum statistics method for two-microphone speech enhancement dedicated to a bilateral cochlear implant. Applied Acoustics, 73(3), 256-264.
5 Yu Yao, & Zhao Heming. (2012). Noise power non-stationary noise environments spectral estimation method of data acquisition and processing, (4), 486-489.
6 Yu, Y., & Zhao, H. (2012). New noise estimation method for highly non-stationary noise environments. Journal of Data Acquisition & Processing, 27(4), 486-489.
7 Yu, Y., & Zhao, H. (2011, January). A new method for noise power spectrum estimation. In 4th IET International Conference on Wireless, Mobile & Multimedia Networks (ICWMMN 2011).
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Dr. Hassan Farsi
University of Birjand - Iran
hfarsi@birjand.ac.ir