Speech operated automatic inquiry system

• US 20030093272A1
• Filed: 10/15/2002
• Published: 05/15/2003
• 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
• Application Number:
  US10/148,301
• Publication Number:
  US 20030093272A1
• Time in Patent Office: Days
• US Class Current: 704/231
• CPC Class Codes: G10L 15/18 using natural language modelling
• CPC Class Codes: G10L 2015/085 Methods for reducing search complexity, pruning

Abstract

The subject of the invention is a process for voice recognition comprising a step of acquiring an acoustic signal, a step of acoustic-phonetic decoding and a step of linguistic decoding.

According to the invention, the linguistic decoding comprises the steps:

of disjoint application of a plurality of language models to the analysis of an audio sequence for the determination of a plurality of sequences of candidate words;

of determination by a search engine of the most probable sequence of words from among the candidate sequences.

The subject of the invention is moreover a device for implementing the process.

Claims

1. A process for voice recognition comprising a step of acquiring an acoustic signal, a step of acoustic-phonetic decoding and a step of linguistic decoding, characterized in that the linguistic decoding step comprises the steps:

of disjoint application of a plurality of language models to the analysis of an audio sequence for the determination of a plurality of sequences of candidate words;

of determination by a search engine of the most probable sequence of words from among the candidate sequences.

2. The process as claimed in claim 1, characterized in that the determination by the search engine is dependent on acoustic parameters which are not taken into account during the application of the language models.

3. The process as claimed in one of claims 1 or 2, characterized in that the language models are based on grammars.

4. The process as claimed in one of claims 1 to 3, characterized in that each language model corresponds to a different application context.

5. A device for voice recognition 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

characterized in that the linguistic decoder comprises

a plurality of language models (8) for disjoint application to the analysis of one and the same sentence for the determination of a plurality of candidate sequences,

a search engine for the determination of a most probable sequence from among the plurality of candidate sequences.