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电信和无线电工程
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN 打印: 0040-2508
ISSN 在线: 1943-6009

卷:
卷 78, 2019 卷 77, 2018 卷 76, 2017 卷 75, 2016 卷 74, 2015 卷 73, 2014 卷 72, 2013 卷 71, 2012 卷 70, 2011 卷 69, 2010 卷 68, 2009 卷 67, 2008 卷 66, 2007 卷 65, 2006 卷 64, 2005 卷 63, 2005 卷 62, 2004 卷 61, 2004 卷 60, 2003 卷 59, 2003 卷 58, 2002 卷 57, 2002 卷 56, 2001 卷 55, 2001 卷 54, 2000 卷 53, 1999 卷 52, 1998 卷 51, 1997

电信和无线电工程

DOI: 10.1615/TelecomRadEng.v71.i3.100
pages 283-291

A METHOD FOR ESTIMATION OF THE SPEECH SIGNAL BASE FREQUENCY ON THE BASIS OF THE MINIMAL CORRELATION COEFFICIENT DISCREPANCY, USING A POLYHARMONIC MATHEMATICAL MODEL

A. N. Golubinskii
Voronezh Institute of the Ministry of Internal Affairs, Voronezh, Russian Federation

ABSTRACT

A new method for calculated estimation of the speech signal base frequency, on the basis of the minimal correlation coefficient discrepancy, is developed. This method of estimation of the base frequency was compared with the amplitude, correlation and spectral methods and the wavelet method.

REFERENCES

  1. Box G. and Jenkins, G. , Analiz vremennykh ryadov. Prognoz i upravlenie (Time Series Analysis.Forecasting and Control).

  2. Golubinskii, A. N. , Development of a mathematical model of the speech signal in the form of an AM oscillation pulse with several carrier frequencies, as applied to the problem of personal verification by voice.

  3. Golubinskii, A. N. , Processing of speech signals based on as model in the form of an AM oscillation pulse with several carrier frequencies.

  4. Markel, J. and Gray, A. H. , Lineinoe predskazanie rechi (Linear Prediction of Speech).

  5. Nazarov, M. V. and Prokhorov, Yu. N. , Metody tsifrovoi obrabotki i peredachi rechevykh signalov (Methods of Digital Processing and Transmission of Speech Signals).

  6. Rabiner, L. R. and Shafer, R. V. , Tsifrovaya obrabotka rechevykh signalov (Digital Processing of Speech Signals).

  7. Rasskazova, S. I. and Vlasov, A. I. , A formant analysis method based on wavelet transformations in speech recognition systems.

  8. Roldugin, S. V., Golubinskii, A. N., and Volskaya, T. A. , Models of speech signals for personal identification by voice.

  9. Sorokin, V. N. , Fundamental study of speech and applied problems of speech technologies.


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