Can I read An application of the Bayesian time series model and statistical system analysis for F0 control on EtoBox?

An application of the Bayesian time series model and statistical system analysis for F0 control by Hiroko Kato; Hideki Kawahara is a Computer Science article available to read on EtoBox.

What is An application of the Bayesian time series model and statistical system analysis for F0 control about?

F0 (fundamental frequency) control of human speech production is studied by using both a stochastic time series model and a system analysis with a vector autoregressive (VAR) model. We use two-dimensional time series data of F0 (ff 0 and sf 0) obtained through the transformed auditory feedback (TAF) experimentation system developed by one of the authors. sf 0 is extracted from speech data that includes prolonged phonation of the vowel /a/, and the signal ff 0 is extracted from frequency-modulated feedback speech by white Gaussian noise. Most of the data had mean-nonstationary characteristics. The stochastic procedure decomposes the mean-nonstationary and other components in one stage without pre-manufacturing the data. The cyclical components around the mean-nonstationary components are assumed to be generated by the VAR model. We can execute a stochastic system analysis using the estimates of the VAR model to analyze the physical characteristics of the data. We also performed a simulation study using the estimates obtained by the model to discover the role of F0 control under the situation in which we completely lost our hearing ability. The results clearly indicate the dynamic pr

Who reads An application of the Bayesian time series model and statistical system analysis for F0 control?

Author

Hiroko Kato; Hideki Kawahara

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0167-6393)

Published

1998

Language

EN

Field

Computer Science (Physical Sciences)