Paper Abstract and Keywords |
Presentation |
2011-10-07 11:00
On an analysis of speaker dependency and speaker adaptation for the recognition of back-channeling expressions in dialog between an robot and persons with dementia Ken Sadohara, Hiroaki Kojima (AIST), Takuya Narita, Misato Nihei, Minoru Kamata (Univ. Tokyo), Shin-ichi Ohnaka, Yoshihiro Fujita (NEC), Rina Ishiwata, Takenobu Inoue (NRCD) SP2011-62 WIT2011-44 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
For the purpose of establishing a dialog between a robot and persons with dementia to remind information, this paper concerns classification of back-channeling expressions into 11 functional categories. An off-line experiment shows that the classification rate of 60% in average is yielded
by a classifier using a language model for a fixed task domain and an acoustic model for elderly persons. It is also shown that the classification rate correlates negatively with the age and not with a scale of dementia. To improve the classification rate for persons older than 80 years, speaker adaptation is shown to be effective and increase the rate up to 70%. For binary classification into affirmative expression and the others, the classification rate is further improved up to 80%. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Dementia / Aged / Assistive Technology / Automatic Speech Recognition / Speaker Adaptation / / / |
Reference Info. |
IEICE Tech. Rep., vol. 111, no. 225, SP2011-62, pp. 61-65, Oct. 2011. |
Paper # |
SP2011-62 |
Date of Issue |
2011-09-29 (SP, WIT) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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SP2011-62 WIT2011-44 |
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