Information processing method and apparatus

• US 20060290709A1
• Filed: 06/01/2004
• Published: 12/28/2006
• Est. Priority Date: 06/02/2003
• Status: Abandoned Application

• Current Assignee: Canon Kabushiki Kaisha (Canon Inc.)
• Original Assignee: Canon Kabushiki Kaisha (Canon Inc.)
• Inventors: Nakagawa, Kenichirou, Hirota, Makoto, Omi, Hiromi
• Application Number:
  US10/555,410
• Publication Number:
  US 20060290709A1
• Time in Patent Office: Days
• US Class Current: 345/594
• CPC Class Codes: G06F 3/038 Control and interface arrangements therefor, e.g. drivers or device-embedded control circuitry
• CPC Class Codes: G06F 3/16 Sound input; Sound output speech processing G10L
• CPC Class Codes: G10L 15/1815 Semantic context, e.g. disambiguation of the recognition hypotheses based on word meaning
• CPC Class Codes: G10L 15/1822 Parsing for meaning understanding
• CPC Class Codes: G10L 15/19 Grammatical context, e.g. disambiguation of the recognition hypotheses based on word sequence rules

Abstract

In an information processing method for processing a user'"'"'s instruction on the basis of a plurality of pieces of input information which are input by a user using a plurality of types of input modalities, each of the plurality of types of input modalities has a description including correspondence between the input contents and semantic attributes. Each input content is acquired by parsing each of the plurality of pieces of input information which are input using the plurality of types of input modalities, and semantic attributes of the acquired input contents are acquired from the description. A multimodal input integration unit integrates the acquired input contents on the basis of the acquired semantic attributes.

Claims

1. An information processing method for recognizing a user'"'"'s instruction on the basis of a plurality of pieces of input information which are input by a user using a plurality of types of input modalities,

said method having a description including correspondence between input contents and a semantic attribute for each of the plurality of types of input modalities,

said method comprising:

an acquisition step of acquiring an input content by parsing each of the plurality of pieces of input information which are input using the plurality of types of input modalities, and acquiring semantic attributes of the acquired input contents from the description; and

an integration step of integrating the input contents acquired in the acquisition step on the basis of the semantic attributes acquired in the acquisition step.

2. The method according to claim 1, wherein one of the plurality of types of input modalities is an instruction of a component via a GUI,

the description includes a description of correspondence between respective components of the GUI and semantic attributes, and

the acquisition step includes a step of detecting an instructed component as an input content, and acquiring a semantic attribute corresponding to the instructed component from the description.

3. The method according to claim 2, wherein the description describes the GUI using a markup language.

4. The method according to claim 1, wherein one of the plurality of types of input modalities is a speech input,

the description includes a description of correspondence between speech inputs and semantic attributes, and

the acquisition step includes a step of applying a speech recognition process to speech information to obtain input speech as an input content, and acquiring a semantic attribute corresponding to the input speech from the description.

5. The method according to claim 4, wherein the description includes a description of a grammar rule for speech recognition, and

the speech recognition step includes a step of applying the speech recognition process to the speech information with reference to the description of the grammar rule.

6. The method according to claim 5, wherein the grammar rule is described using a markup language.

7. The method according to claim 1, wherein the acquisition step includes a step of further acquiring an input time of the input content, and

the integration step includes a step of integrating a plurality of input contents on the basis of the input times of the input contents, and the semantic attributes acquired in the acquisition step.

8. The method according to claim 7, wherein the acquisition step includes a step of acquiring information associated with a value and bind destination of the input content, and

the integration step includes a step of checking based on the information associated with the value and bind destination of the input content if integration is required, outputting, if integration is not required, the input contents intact, integrating the input contents, which require integration, on the basis of the input times and semantic attributes, and outputting the integration result.

9. The method according to claim 8, wherein the integration step includes a step of integrating the input contents which have a input time difference that falls within a predetermined range, and matched semantic attributes, of the input contents that require integration.

10. The method-according to claim 8, wherein the integration step includes a step of outputting, when the input contents or the integration result, which have the input time difference that falls within the predetermined range and the same bind destination, are to be output, the input contents or integration result in the order of input times.

11. The method according to claim 8, wherein the integration step includes a step of selecting, when the input contents or the integration result, which have the input time difference that falls within the predetermined range and the same bind destination, are to be output, the input content or integration result, which is input according to an input modality with higher priority, in accordance with priority of input modalities, which is set in advance, and outputting the selected input content or integration result.

12. The method according to claim 8, wherein the integration step includes a step of integrating input contents in ascending order of input time.

13. The method according to claim 8, wherein the integration step includes a step of inhibiting integration of input contents which include input contents with a different semantic attribute when the input contents are sorted in the order of input times.

14. The method according to claim 1, wherein the description describes a plurality of semantic attributes for one input content, and

the integration step includes a step of determining, when a plurality of types of information are likely to be integrated on the basis of the plurality of semantic attributes, input contents to be integrated on the basis of weights assigned to the respective semantic attributes.

15. The method according to claim 1, wherein the integration step includes a step of determining, when a plurality of input contents are acquired for input information in the acquisition step, input contents to be integrated on the basis of confidence levels of the input contents in parsing.

19. A storage medium storing a control program for making a computer execute an information processing method of claim 1.

20. A control program for making a computer execute an information processing method of claim 1.

16. An information processing apparatus for recognizing a user'"'"'s instruction on the basis of a plurality of pieces of input information which are input by a user using a plurality of types of input modalities, comprising:

a holding unit for holding a description including correspondence between input contents and a semantic attribute for each of the plurality of types of input modalities,

an acquisition unit for acquiring an input content by parsing each of the plurality of pieces of input information which are input using the plurality of types of input modalities, and acquiring semantic attributes of the acquired input contents from the description; and

an integration unit for integrating the input contents acquired by said acquisition unit on the basis of the semantic attributes acquired by said acquisition unit.

17. A description method of describing a GUI, characterized by describing semantic attributes corresponding to respective GUI components using a markup language.

18. A grammar rule for recognizing speech input information input by speech, characterized by describing semantic attributes corresponding to respective speech inputs in the grammar rule.