Taro Asada, Ruka Adachi, Syuhei Takada, Yasunari Yoshitomi, Masayoshi Tabuse
Pages 59-63
Abstract
Herein, we report on the development of a system for agent facial expression generation that uses vowel recognition when generating synthesized speech. The speech is recognized using the Julius high-performance, two-pass largevocabulary continuous speech recognition decoder software system, after which the agent’s facial expression is synthesized using preset parameters that depend on each vowel. The agent was created using MikuMikuDanceAgent (MMDAgent), which is a freeware animation program that allows users to create and animate movies with agents.
Keywords: MMDAgent, Speech recognition, Vowel recognition, Speech synthesis