PITCH PERIOD ESTIMATION METHOD USING EMPIRICAL WAVELET TRANSFORM
Науковий журнал «Радіоелектроніка, інформатика, управління»
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PITCH PERIOD ESTIMATION METHOD USING EMPIRICAL WAVELET TRANSFORM |
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Imamverdiyev, Y. N.; Institute of Information Technology of Azerbaijan National Academy of Sciences, Baku, Azerbaijan Sukhostat, L. V.; Institute of Information Technology of Azerbaijan National Academy of Sciences, Baku, Azerbaijan |
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pitch period, empirical wavelet transform, operator Teager-Kaiser energy operator, intrinsic mode function, instantaneous frequency. |
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Pitch period evaluation of speech signal is used in many important applications of speech technology. However, among the existing<br />methods only some can work in case of non-linear and non-stationary signals. The main reason is that the pitch detection methods are based<br />on the assumption that speech production process is linear. Selection of pitch period estimation algorithm is always focuses on finding a<br />compromise between time and frequency resolution, robustness, computational complexity and time delay. The aim of this paper is to develop a new method for estimating the pitch period based on empirical wavelet transformation. Method of constructing a family of adapted wavelets assumes that the filters depend on the information location in speech spectrum of the analyzed signal. Empirical wavelets are defined as<br />bandpass filters for each segment of the speech signal. Instantaneous frequency characteristics are considered as pitch period detection features.<br />Teager-Kaiser energy separation operator is used for its extraction. The comparison of this method with other pitch estimation algorithms is<br />presented. |
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Zaporizhzhya National Technical University 2015-06-23 10:55:57 |
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application/pdf http://ric.zntu.edu.ua/article/view/45257 |
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Radio Electronics, Computer Science, Control; No 2 (2015): Radio Electronics, Computer Science, Control |
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ru |
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Copyright (c) 2015 Y. N. Imamverdiyev, L. V. Sukhostat |
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