Presentation | 2008-12-10 Driver's irritation detection using speech recogntion results Lucas Malta, Chiyomi Miyajima, Akira Ozaki, Norihide Kitaoka, Kazuya Takeda, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this work we present our efforts towards the multi-modal estimation of a driver's affective state under naturalistic conditions. Multi-modal data from 18 subjects (2.3h) who interacted with an automatic speech recognition system while driving are recorded. A transcription protocol is designed to provide a meaningful description of the driving environment. A data fusion model based on Bayesian network is proposed and used for estimating a driver's level of irritation. Information on transcription labels, physiological signals, driving behavior and speech recognition are integrated. Preliminary results are very encouraging. |
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Paper # | NLC2008-65,SP2008-120 |
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Committee | NLC |
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Conference Date | 2008/12/2(1days) |
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Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Driver's irritation detection using speech recogntion results |
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1st Author's Name | Lucas Malta |
1st Author's Affiliation | Graduate School of Information Science, Nagoya University() |
2nd Author's Name | Chiyomi Miyajima |
2nd Author's Affiliation | Graduate School of Information Science, Nagoya University |
3rd Author's Name | Akira Ozaki |
3rd Author's Affiliation | Graduate School of Information Science, Nagoya University |
4th Author's Name | Norihide Kitaoka |
4th Author's Affiliation | Graduate School of Information Science, Nagoya University |
5th Author's Name | Kazuya Takeda |
5th Author's Affiliation | Graduate School of Information Science, Nagoya University |
Date | 2008-12-10 |
Paper # | NLC2008-65,SP2008-120 |
Volume (vol) | vol.108 |
Number (no) | 337 |
Page | pp.pp.- |
#Pages | 4 |
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