Title :
Characterizing in-Car Conversational Speech of Different Dialogue Modes
Author :
Fujimura, Hiroshi ; Miyajima, Chiyomi ; Kawaguchi, Nobuo ; Itou, Katsunobu ; Takeda, Kazuya ; Itakura, Fumitada
Author_Institution :
Graduate Sch. of Inf. Sci., Nagoya Univ.
fDate :
Aug. 30 2006-Sept. 1 2006
Abstract :
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, a 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
Keywords :
driver information systems; loudness; regression analysis; road vehicles; speech recognition; conversational utterance; dialogue mode; in-car conversational speech recognition; linear regression analysis; Audio recording; Automatic speech recognition; Humans; Information analysis; Linear regression; Microphones; Navigation; Speech analysis; Speech recognition; Vocabulary;
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
DOI :
10.1109/ICICIC.2006.249
