Speech dialogue system

• US 20020107690A1
• Filed: 08/31/2001
• Published: 08/08/2002
• Est. Priority Date: 09/05/2000
• Status: Abandoned Application

• Current Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Original Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Inventors: Souvignier, Bernd
• Application Number:
  US09/944,300
• Publication Number:
  US 20020107690A1
• Time in Patent Office: Days
• US Class Current: 704/251
• CPC Class Codes: G10L 15/18 using natural language modelling
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue

Abstract

The invention relates to a speech dialogue system (1). To guarantee a maximum reliable identification of meaningful word sub-sequences for a broad spectrum of formulation alternatives with speech inputs, the speech dialogue system comprises a speech understanding unit (4) in which an evaluation of the word sub-sequence is effected with different speech models (8) for identifying a meaningful word sub-sequence from a recognition result produced by a speech recognition unit (3) which was determined for a word sequence fed to the speech dialogue system (1).

Claims

1. A speech dialogue system (1) comprising a speech understanding unit (4) in which, for identifying a meaningful word sub-sequence from a recognition result produced by a speech recognition unit (3) which result was determined for a word sequence fed to the speech dialogue system (1), the word sub-sequence is evaluated by means of different speech models (8).

2. A speech dialogue system as claimed in claim 1, characterized in that, a general speech model (LM-0) and at least one theme-specific speech model (LM-1, . . . , LM-K) are provided for evaluating the word sub-sequence.

3. A speech dialogue system as claimed in claim 2, characterized in that the plurality of different speech models (8) contains at least one theme-specific speech model (LM-1, . . . , LM-K) to which a database (DB-1, . . . , DB-M) with respective theme-specific data material is assigned, which material is used for determining the semantic information contained in the word sub-sequence.

4. A method of extracting a significant word sub-sequence from a recognition result produced by a speech recognition unit (3) of a speech dialogue system (1), in which the word sub-sequence is evaluated with different speech models (8) in a speech understanding unit (4) of the speech dialogue system (1).