Title :
Application of polynomial splines to a time-varying autoregressive model of speech
Author :
Flaherty, Michael J.
Author_Institution :
Telecom Australia Res. Labs., Clayton, Vic., Australia
Abstract :
An investigation is conducted into the use of polynomial spines in a time-varying autoregressive model of speech. The form of the model and computational considerations are discussed. Results are presented for the analysis of synthetic signals and real speech. The effects of model parameters, in particular, spline order and knot spacing, are discussed. The spectral evolution as provided by this model is compared with the more conventional stationary models. The performance of this model for tracking time-varying autoregressive coefficients is compared with the models which use an orthogonal time-series expansion of autoregressive coefficients
Keywords :
speech analysis and processing; splines (mathematics); time series; time-varying systems; computational considerations; knot spacing; model parameters; orthogonal time-series expansion; polynomial splines; spectral evolution; speech model; spline order; synthetic signals; time-varying autoregressive model; tracking; Australia; Computational modeling; Laboratories; Polynomials; Predictive models; Signal analysis; Speech analysis; Speech synthesis; Spline; Telecommunications;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
DOI :
10.1109/ICASSP.1988.197076
