First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06)
Characterizing in-Car Conversational Speech of Different Dialogue Modes
Beijing, China
August 30-September 01
ISBN: 0-7695-2616-0
The dependency of conversational utterances on the mode of dialogue is analyzed. A speech corpus of 800 speakers collected under three different modes, i.e., talking to a human operator, an WOZ system and an ASR system, is used for analysis. Some characteristics such as sentence complexity and loudness of the voice are found to be significantly different among the dialogue modes. Linear regression analysis results also clarify the relative importance of those characteristics on speech recognition accuracy.
Citation:
Hiroshi Fujimura, Chiyomi Miyajima, Nobuo Kawaguchi, Katsunobu Itou, Kazuya Takeda, Fumitada Itakura, "Characterizing in-Car Conversational Speech of Different Dialogue Modes," icicic, vol. 2, pp.552-556, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006