Method of Processing Sound Signals for a Communication Terminal and Communication Terminal Using that Method

• US 20080172231A1
• Filed: 06/16/2005
• Published: 07/17/2008
• Est. Priority Date: 06/16/2004
• Status: Abandoned Application

• Current Assignee: Alcatel-Lucent SA (Nokia Corporation)
• Original Assignee: Alcatel-Lucent SA (Nokia Corporation)
• Inventors: Lejay, Frederic, Parisel, Arnaud
• Application Number:
  US11/570,755
• Publication Number:
  US 20080172231A1
• Time in Patent Office: Days
• US Class Current: 704/251
• CPC Class Codes: G10L 15/28 Constructional details of speech recognition systems

Abstract

The present invention relates to a method of processing voice signals (320, 322, 324) for a communication terminal (300) using voice recognition means comparing those voice signals to data stored in a database (304) in order to identify the data corresponding to those signals, that identified data being transmitted to management means (312) for triggering an action. According to the invention, such a method is characterized in that, the voice signals being liable to be supplied different sound acquisition systems (305, 307, 309), separate voice recognition means are used for each acquisition system.

Claims

1. Method of processing voice signals (320, 322, 324, 428, 430, 432, 618, 624) for a communication terminal (300, 400, 600) using voice recognition means (302, 402, 602) comparing those voice signals to data stored in a database (304, 404, 614) in order to identify the data corresponding to those signals, that identified data being transmitted to management means (312, 412, 616) for triggering an action, characterized in that, the voice signals being liable to be supplied different sound acquisition systems (305, 307, 309, 405, 407, 409, 607, 609), separate voice recognition means are used for each acquisition system.

2. Method according to claim 1 characterized in that the database (304) comprises independent sub-bases (314, 316, 318), each sub-base (314, 316, 318) being associated with one sound acquisition system (305, 307, 309) so that the voice recognition means give priority to using the sub-base (314, 316, 318) associated with the sound acquisition system (305, 307, 309) used to effect the comparison.

3. Method according to claim 2 characterized in that the comparison between a signal (320, 322, 324) and the stored data is done successively for each of the sub-bases (314, 316, 318) until a required recognition rate is achieved by that comparison.

4. Method according to claim 2 characterized in that a voice recognition learning procedure is done with different voice recognition systems (305, 307, 309) to generate the sub-bases (314, 316, 318) specific to each voice recognition system.

5. Method according to claim 1 characterized in that the voice recognition means of the communication terminal incorporate at least two sound signal filters (414, 416, 418), each of the filters being specific to one sound acquisition system (405, 407, 409) of the communication terminal.

6. Method according to claim 5 characterized in that the filters (414, 416, 418) have predetermined filter characteristics.

7. Method according to claim 5 characterized in that the signals (422, 424, 426) delivered by the filters (414, 416, 418) are processed identically by the voice recognition means vis à

vis the database (404).

8. Method according to claim 1 characterized in that the voice recognition means contain fixed filter means (604) associated with a first voice recognition system (607) and dynamic filter means (612) associated with a second filter system (609), these dynamic filter means (612) detecting the characteristics of the fixed filtering to deliver a signal analogous to the signal delivered by the fixed filtering.

9. Communication terminal (300, 400, 600) processing voice signals (320, 322, 324, 428, 430, 432, 618, 624) using voice recognition means comparing those voice signals to data stored in a database (304, 404, 614) in order to identify the data corresponding to those signals, that identified data being transmitted to management means (312, 412, 616) for triggering an action, characterized in that, the voice signals being liable to be supplied different sound acquisition systems (305, 307, 309, 405, 407, 409, 607, 609), it comprises separate voice recognition means for each acquisition system.

10. Communication terminal according to claim 9, characterized in that the database (304, 404, 614) is situated externally of the communication terminal in a server (700).

11. Communication terminal according to claim 9 characterized in that it includes, in the database (304, 404, 614), independent sub-bases (314, 316, 318), each sub-base (314, 316, 318) being associated with one sound acquisition system (305, 307, 309) so that the voice recognition means give priority to using the sub-base associated with the sound acquisition system used by the user to do the comparison.

12. Communication terminal according to claim 11 characterized in that it comprises means for doing the comparison between a signal (320, 322, 324) and the stored data successively for each of the sub-bases until a required recognition rate is achieved by that comparison.

13. Communication terminal according to claim 11 characterized in that it comprises means for doing a voice recognition learning procedure with different voice recognition systems (305, 307, 309) to generate the sub-bases (314, 316, 318) specific to each voice recognition system.

14. Communication terminal according to claim 9 characterized in that it comprises in the voice recognition means of the communication terminal at least two sound signal filters (414, 416, 418), each of the filters being specific to one sound acquisition system (405, 407, 409) of the communication terminal.

15. Communication terminal according to claim 14 characterized in that the filters (414, 416, 418) have predetermined fixed filter characteristics.

16. Communication terminal according to claim 14 characterized in that it comprises means whereby the filtered signals (422, 424, 426) are processed identically by the voice recognition means vis à

vis the database (404).

17. Communication terminal according to claim 9 characterized in that the voice recognition means contain fixed filter means (604) associated with a first voice recognition system (607) and dynamic filter means (612) associated with a second filter system (609), these dynamic filter means (612) detecting the characteristics of the fixed filtering to deliver a signal analogous to the signal delivered by the fixed filtering.

18. Communication terminal according to claim 9 characterized in that one of the sound acquisition systems comprises a microphone.

19. Communication terminal according to claim 9 characterized in that one of the sound acquisition systems is a pedestrian hands-free kit, a hands-free kit for a vehicle or a recognition system integrated into the communication terminal.