Title :
Automatic parameter extraction of fundamental frequency contours of speech based on a generative model
Author :
Fujisaki, Hiroya ; OHNO, Sumio ; TOMITA, Osamu
Author_Institution :
Dept. of Appl. Electron., Sci. Univ. of Tokyo, Japan
Abstract :
The process of generating an F0 contour from a small number of linguistically meaningful parameters, has been modeled quite accurately, and the model has been used extensively in speech synthesis. The paper deals with the inverse problem, i.e., that of extracting the model parameters from a given contour, which can only be solved by successive approximation. It presents a method for deriving a first-order approximation to a given F0 contour from the linguistic information of the utterance, and refining the approximation by analysis-by-synthesis. The validity of the method has been confirmed experimentally
Keywords :
approximation theory; feature extraction; inverse problems; linguistics; natural languages; parameter estimation; speech processing; speech synthesis; analysis by synthesis; automatic parameter extraction; experiment; first-order approximation; fundamental frequency contours; generative model; inverse problem; linguistic information; linguistically meaningful parameters; model parameters; speech generation; speech synthesis; successive approximation; Data mining; Electronic mail; Frequency; Information analysis; Inverse problems; Mathematical model; Natural languages; Parameter extraction; Speech processing; Speech synthesis;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.567366
