Communication Smoothness Estimation Using F0 Information

Wakita, Yumi; Matsumoto, Shunpei

doi:10.12792/icisip2016.098

Cited by 4 publications

(1 citation statement)

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“…We already confirmed that F0 behaviors in free dyadic conversations are effective in estimating a conversational atmosphere. The standard deviation value of F0 (SD-F0) for each utterance in a smooth conversation is greater than that of a non-smooth conversation (4) (5) . It is necessary to confirm whether F0 information is useful in estimating not only the conversational atmosphere but also in estimating the degree of age decline.…”

Section: Introductionmentioning

confidence: 95%

Comparison of Non-verbal Feature of Free-conversation Speech between Elderly and Young Individuals

Wakita¹,

Yamasuso²,

Nakatoh³

2017

Proceedings of the 5th IIAE International Conference on Industrial Application Engineering 2017

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This study explores a system that estimates the degree of decline for elderly persons using nonverbal information from daily conversations. Factors useful in estimating the degree of decline and methods of estimation need to be determined.First, we confirmed whether we can estimate the speaker's age and "elderly likeness" from the conversation data. We made several processed conversation sounds: ("only included Fillers," "only included Laughter utterances," and "only included Intonation information") from the original conversation database. By listening to these sounds, we confirmed that it is possible to estimate whether the speaker is young or elderly.Next, we analyzed the nonverbal features of conversation sounds of young and elderly individuals. In this paper, we selected the F0 and power value of "laughter utterance" and "speech utterance," and compared the difference between young and elderly individuals.By comparing the results, we discussed the possibility of estimating a degree of decline.

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Section: Introductionmentioning

confidence: 95%