Name
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, 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. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICICIC.2006.249 | ICICIC (2) |
Keywords | Field | DocType |
asr system,human operator,speech corpus,in-car conversational speech,woz system,different dialogue modes,speech recognition accuracy,conversational utterance,linear regression analysis result,relative importance,different mode,dialogue mode,linear regression analysis,linear regression,regression analysis,loudness,speech recognition | Speech corpus,Loudness,Speech analytics,Human operator,Computer science,Regression analysis,Mode (statistics),Speech recognition,Sentence,Linear regression | Conference |
ISBN | Citations | PageRank |
0-7695-2616-0 | 0 | 0.34 |
References | Authors | |
3 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hiroshi Fujimura | 1 | 13 | 6.25 |
| Chiyomi Miyajima | 2 | 345 | 45.71 |
| Nobuo Kawaguchi | 3 | 313 | 64.23 |
| Katsunobu Itou | 4 | 164 | 30.91 |
| Kazuya Takeda | 5 | 1301 | 195.60 |
| Fumitada Itakura | 6 | 431 | 67.73 |