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Conference Paper
Age Classification for Home-Robot Services
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- Authors
- Hye Jin Kim, Keun Chang Kwak, Kyung Sook Bae, Soo Young Chi
- Issue Date
- 2006-10
- Citation
- International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2006, pp.1-5
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper describes an approach to recognize the age of a user on the basis of her/his speech. Using acoustic features such as Mel Frequency Cepstral Coefficients (MFCCs), Gaussian Mixture Model (GMM) technique is applied to learn the user's information, age.On the basis of this information, a robot can provide a service adaptive to the special needs of a specific user group, adults or children. The major part of the paper is about identifying and extracting features of speech that are relevant for age estimation. To test the features, we used ETRI-VoiceDB2006.
- KSP Keywords
- Age Classification, Frequency cepstral coefficients, Gaussian mixture Model(GMM), Mel-Frequency Cepstrum Coefficients(MFCC), Robot Service, Special Needs, User groups, acoustic features, age estimation