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.

Date of Patent:
Apr. 07, 2015

Filed:

Nov. 06, 2012
Applicant:

Sony Corporation, Tokyo, JP;

Inventor:

Keiichi Yamada, Tokyo, JP;

Assignee:

Sony Corporation, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/00 (2013.01); G10L 17/00 (2013.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01); G10L 17/10 (2013.01); G10L 21/0272 (2013.01); G01S 3/802 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00335 (2013.01); G06K 9/0057 (2013.01); G06K 9/00684 (2013.01); G06K 9/624 (2013.01); G10L 17/10 (2013.01); G10L 21/0272 (2013.01); G01S 3/802 (2013.01);
Abstract

An information processing apparatus includes: a plurality of information input units; an event detection unit that generates event information including estimated position information and estimated identification information of users present in the real space based on analysis of the information from the information input unit; and an information integration processing unit that inputs the event information, and generates target information including a position of each user and user identification information based on the input event information, and signal information representing a probability value of the event generation source, wherein the information integration processing unit includes an utterance source probability calculation unit, and wherein the utterance source probability calculation unit performs a process of calculating an utterance source score as an index value representing an utterance source probability of each target by multiplying weights based on utterance situations by a plurality of different information items from the event detection unit.


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