Automatic Extraction of F 0 Control Rules Using Statistical Analysis

Abstract

This chapter describes an automatic derivation of F 0 control rules using a superpositional F 0 control model and a tree-generation-type statistical model. In this derivation, the superpositional model was used to parameterize the F 0 contours of speech data. The F 0 control rules, which predict the parameters from linguistic information, were formed statistically by analyzing the relationship between the parameter value and the linguistic information. An experiment using 200 Japaneseread sentences showed the effectiveness of this derivation algorithm. Throughout this experiment, two clear F 0-control characteristics of the superpositional model were derived: (1) the dominant factor controlling amplitude of the accent command was accent type, and (2) for the phrase command the dominant factor was the number of morae in the previous phrase.