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Word posterior probability (WPP) based confidence measure (CM) has been applied successfully in LVCSR tasks. However, for embedded speech recognition in which system resource is limited, not only performance of CM but also efficiency of the algorithm need to be considered. One of the most important issue in calculating WPP is how to obtain reliable estimation of the normalization term. So in this...
This paper presents the extension of the quantitative target approximation model for simulating not only intonations but also stochastic behaviors in speech production. The simulation method first samples the initial F0 state from the initial F0 distribution. Then, to implement the communicative function, it predicts the pitch target parameters from the joint probability distribution of the initial...
Time-varying systems and nonstationary signals arise naturally in many engineering applications, such as speech, biomedical, and seismic signal processing. Thus, identification of the time-varying parameters is of crucial importance in the analysis and synthesis of these systems. The present time-varying system identification techniques require either demanding computation power to draw a large amount...
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