The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Mar. 08, 2016
Filed:
Sep. 14, 2011
Kosei Fume, Kanagawa-ken, JP;
Masaru Suzuki, Kanagawa-ken, JP;
Masahiro Morita, Kanagawa-ken, JP;
Kentaro Tachibana, Kanagawa-ken, JP;
Kouichirou Mori, Saitama-ken, JP;
Yuji Shimizu, Kanagawa-ken, JP;
Takehiko Kagoshima, Kanagawa-ken, JP;
Masatsune Tamura, Kanagawa-ken, JP;
Tomohiro Yamasaki, Tokyo, JP;
Kosei Fume, Kanagawa-ken, JP;
Masaru Suzuki, Kanagawa-ken, JP;
Masahiro Morita, Kanagawa-ken, JP;
Kentaro Tachibana, Kanagawa-ken, JP;
Kouichirou Mori, Saitama-ken, JP;
Yuji Shimizu, Kanagawa-ken, JP;
Takehiko Kagoshima, Kanagawa-ken, JP;
Masatsune Tamura, Kanagawa-ken, JP;
Tomohiro Yamasaki, Tokyo, JP;
Kabushiki Kaisha Toshiba, Tokyo, JP;
Abstract
According to one embodiment, an apparatus for supporting reading of a document includes a model storage unit, a document acquisition unit, a feature information extraction, and an utterance style estimation unit. The model storage unit is configured to store a model which has trained a correspondence relationship between first feature information and an utterance style. The first feature information is extracted from a plurality of sentences in a training document. The document acquisition unit is configured to acquire a document to be read. The feature information extraction unit is configured to extract second feature information from each sentence in the document to be read. The utterance style estimation unit is configured to compare the second feature information of a plurality of sentences in the document to be read with the model, and to estimate an utterance style of the each sentence of the document to be read.