Spectral Estimation for Speech Signals Based on Decimation and Eigenanalysis
نویسندگان
چکیده
-This paper details on the application of a Decimative Spectral estimation method to speech signals in order to perform spectral analysis and estimation of Formant/Bandwidth values. The method is based on Eigenanalysis and SVD (Singular Value Decomposition) and performs artificial decimation for increased accuracy while it exploits the full set of data samples. The underlying model decomposes a signal into complex damped sinusoids whose frequencies, amplitudes, phases and damping factors are estimated. Correct estimation of Formant/Bandwidth values depend on the model order, thus the requested number of poles. Additionally, some selection criteria are applied regarding finer tracking and estimation of speech formants and their relevant bandwidths.
منابع مشابه
On the use of a Decimative Spectra on Eigenanalysis and SVD for F Tracking of Speec
In this paper, a Decimative Spectral estimation method based on Eigenanalysis and SVD (Singular Value Decomposition) is presented and applied to speech signals in order to estimate Formant/Bandwidth values. The underlying model decomposes a signal into complex damped sinusoids. The algorithm is applied not only on speech samples but on a small amount of the autocorrelation coefficients of a spe...
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