Speech recognition with a complementary language model for typical mistakes in spoken dialogue

• US 20030105633A1
• Filed: 09/03/2002
• Published: 06/05/2003
• Est. Priority Date: 12/02/1999
• Status: Abandoned Application

• Current Assignee: Thomson Licensing SA (Vantiva SA)
• Original Assignee: Thomson Licensing SA (Vantiva SA)
• Inventors: Tazine, Nour-Eddine, Soufflet, Frederic, Delaunay, Christophe
• Application Number:
  US10/148,297
• Publication Number:
  US 20030105633A1
• Time in Patent Office: Days
• US Class Current: 704/255
• CPC Class Codes: G10L 15/193 Formal grammars, e.g. finite state automata, context free grammars or word networks
• CPC Class Codes: G10L 15/197 Probabilistic grammars, e.g. word n-grams

Abstract

The invention relates to a voice recognition device (1) comprising an audio processor (2) for the acquisition of an audio signal and a linguistic decoder (6) for determining a sequence of words corresponding to the audio signal.

The linguistic decoder of the device of the invention comprises a language model (8) determined on the basis of a first set of at least one syntactic block defined solely by a grammar and of a second set of at least one second syntactic block defined by one of the following elements, or a combination of these elements: a grammar, a list of phrases, an n-gram network.

Claims

1. Voice recognition device (1) comprising an audio processor (2) for the acquisition of an audio signal and a linguistic decoder (6) for determining a sequence of words corresponding to the audio signal, the decoder comprising a language model (8), characterized in that the language model (8) is determined by a first set of at least one rigid syntactic block and a second set of at least one flexible syntactic block.

2. Device according to claim 1, characterized in that the first set of at least one rigid syntactic block is defined by a BNF type grammar.

3. Device according to claims 1 or 2, characterized in that the second set of at least one flexible syntactic block is defined by one or more n-gram networks, the data of the n-gram networks being produced with the aid of a grammar or of a list of phrases.

4. Device according to claim 3, characterized in that the n-gram network contains data corresponding to one or more of the following phenomena:

simple hesitation, simple repetition, simple exchange, change of mind, mumbling.