METHODS AND SYSTEMS FOR ASSESSING AND IMPROVING THE PERFORMANCE OF A SPEECH RECOGNITION SYSTEM

• US 20110161082A1
• Filed: 03/09/2011
• Published: 06/30/2011
• Est. Priority Date: 02/04/2005
• Status: Active Grant

• Current Assignee: Vocollect, Inc. (Honeywell International Inc.)
• Original Assignee: Vocollect, Inc. (Honeywell International Inc.)
• Inventors: Pike, Jeffrey, Braho, Keith, El-Jaroudi, Amro, Laughery, Michael, Pike, Lori
• Granted Patent: US 8,374,870 B2
• Time in Patent Office: Days
• US Class Current: 704/251
• CPC Class Codes: G10L 15/01 Assessment or evaluation of speech recognition systems
• CPC Class Codes: G10L 15/06 Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice G10L15/14 takes precedence

Abstract

A method for assessing a performance of a speech recognition system may include determining a grade, corresponding to either recognition of instances of a word or recognition of instances of various words among a set of words, wherein the grade indicates a level of the performance of the system and the grade is based on a recognition rate and at least one recognition factor. An apparatus for assessing a performance of a speech recognition system may include a processor that determines a grade, corresponding to either recognition of instances of a word or recognition of instances of various words among a set of words, wherein the grade indicates a level of the performance of the system and wherein the grade is based on a recognition rate and at least one recognition factor.

Claims

1. A method for model adaptation for a speech recognition system comprising:

determining a performance assessment of the system, corresponding to either recognition of instances of word or recognition of instances of various words among a set of words; and

adjusting an adaptation of a model for the word or various models for the various words, based on the performance assessment.

2. The method of claim 1, wherein the performance assessment is a grade.

3. The method of claim 1, wherein the performance assessment is an accuracy rate.

4. The method of claim 1, wherein adjusting the adaptation comprises:

making a comparison of the performance assessment to a performance assessment threshold; and

adapting the model or various models or withholding adapting the model or various models, based on the comparison.

5. The method of claim 4, wherein the performance assessment threshold is based on a performance assessment of a set of users of like systems.

6. An apparatus for model adaptation for a speech recognition system comprising:

a processor adapted to determine a performance assessment of the system, corresponding to either recognition of instances of word or recognition of instances of various words among a set of words; and

a controller adapted to adjust an adaptation, of a model for the word or various models for the various words, based on the performance assessment.

7. The apparatus of claim 6, wherein the controller adjusts the adaptation by adapting the model or various models or withholding adapting the model or various models, based on the performance assessment.

8. The apparatus of claim 6, wherein the adaptation is adjusted based on a performance assessment of a set of users of like systems.