Performance Prediction For An Interactive Speech Recognition System

• US 20090187402A1
• Filed: 05/24/2005
• Published: 07/23/2009
• Est. Priority Date: 06/04/2004
• 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: Scholl, Holger
• Application Number:
  US11/569,709
• Publication Number:
  US 20090187402A1
• Time in Patent Office: Days
• US Class Current: 704/233
• CPC Class Codes: G10L 15/01 Assessment or evaluation of speech recognition systems
• CPC Class Codes: G10L 15/20 Speech recognition techniques specially adapted for robustness in adverse environments, e.g. in noise, of stress induced speech G10L21/02 takes precedence

Abstract

The present invention provides an interactive speech recognition system and a corresponding method for determining a performance level of a speech recognition procedure on the basis of recorded background noise. The inventive system effectively exploits speech pauses that occur before the user enters speech that becomes subject to speech recognition. Preferably, the inventive performance prediction makes effective use of trained noise classification models. Moreover, predicted performance levels are indicated to the user in order to give a reliable feedback of the performance of the speech recognition procedure. In this way the interactive speech recognition system may react to noise conditions that are inappropriate for generating reliable speech recognition.

Claims

1. An interactive speech recognition system (100) for recognizing speech of a user (112), the speech recognition system comprising:

means for receiving acoustic signals comprising a background noise,

means for selecting a noise model (106) on the basis of the received acoustic signals,

means for predicting of a performance level (108) of a speech recognition procedure on the basis of the selected noise model,

means for indicating (110) the predicted performance level to the user.

2. The interactive speech recognition system (100) according to claim 1, wherein the means for predicting of the performance level (108) being further adapted to predict the performance level on the basis of noise parameters being determined on the basis of the received acoustic signals,

3. The interactive speech recognition system (100) according to claim 1, further being adapted to tune at least one speech recognition parameter of the speech recognition procedure on the basis of the predicted performance level.

4. The interactive speech recognition system (100) according to claim 1, further comprising means for switching a predefined interaction mode (114) on the basis of the predicted performance level.

5. The interactive speech recognition system (100) according to claim 1, wherein the means for predicting of the performance level (108) being adapted to predict the performance level prior to the execution of the speech recognition procedure.

6. The interactive speech recognition system (100) according to claim 1, wherein the means for receiving the acoustic signals being further adapted to record background noise in response to receive an activation signal being generated by an activation module (118).

7. The interactive speech recognition system (100) according to claim 1, wherein the means for indicating (110) the predicted performance to the user (116) being adapted to generate an audible and/or visual signal indicating the predicted performance level.

12. An automatic dialogue system comprising an interactive speech recognition system according to claim 1.

8. A method of interactive speech recognition comprising the steps of:

receiving acoustic signals comprising background noise,

selecting a noise model of a plurality of trained noise models on the basis of the received acoustic signals,

predicting a performance level of a speech recognition procedure on the basis of the selected noise model,

indicating the predicted performance level to a user.

9. The method according to claim 8, further comprising generating each of the noise models by making use of a first training procedure under corresponding noise conditions.

10. The method according to claim 8, wherein prediction of the performance level of the speech recognition procedure being based on a second training procedure, the second training procedure being adapted to monitor a performance of the speech recognition procedure for each one of the noise conditions.

11. A computer program product for an interactive speech recognition system comprising computer program means being adapted for:

receiving acoustic signals comprising background noise,

selecting a noise model on the basis of the received acoustic signals,

calculating of a performance level of a speech recognition procedure on the basis of the selected noise model,

indicating the predicted performance level to the user.