To provide clustering technology for accurately estimating the number of speakers and a parameter for characterizing each speaker, in dialization.
A clustering calculation device 3 includes: an observation amount creation section 26 which reads a power vector extracted from recorded conversation data, to convert it to an observation amount of the vector corresponding to dynamic Hierarchical Dirichlet Process (dHDP) approximation model; a storage means 10 for accumulating and storing a collection data of the converted observation amount; a variation post-distribution inference section 30 in which a value of post-distribution of a plurality of parameters when the plurality of clusters are created from the collection data of the observation amount by dHDP approximation model, is respectively estimated by an expectation-maximization (EM) algorithm, and sequentially stored and updated in the storage means 10; and an output control section 28 for outputting a latest estimation value of the post-distribution of the plurality of parameters, which are stored in the storage means 10, when a finishing condition set beforehand is satisfied.
COPYRIGHT: (C)2010,JPO&INPIT
Samurai Yamada
Akiko Araki
Tomohiro Nakatani
| JP2008203474A |
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Megumi Oishi
Shinji Nakamura