Title :
Unstable covariance LPC solutions from nonstationary speech waveforms
Author :
Ng, Chun Sum ; Milenkovic, Paul H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
fDate :
5/1/1989 12:00:00 AM
Abstract :
Linear Predictive Coding (LPC) analysis of speech is made using a stationary model while parts of speech such as stop consonants are highly nonstationary. An asymptotic analysis is made of the stability of the LPC model obtained from a simplified model of a nonstationary waveform. This model is used to predict the occurrence of unstable LPC models in the analysis of a stop consonant.<>
Keywords :
encoding; ferromagnetic-paramagnetic transitions; speech analysis and processing; LPC model stability; asymptotic analysis; linear predictive coding; nonstationary speech waveforms; speech analysis; speech processing; stop consonants; unstable covariance LPC; Equations; Linear predictive coding; Natural languages; Nonlinear filters; Predictive coding; Predictive models; Signal analysis; Speech analysis; Speech coding; Stability analysis;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on