APPARATUS AND METHOD FOR RECOGNIZING VOICE IN VEHICLES

• US 20080086260A1
• Filed: 08/03/2007
• Published: 04/10/2008
• Est. Priority Date: 08/03/2006
• Status: Abandoned Application

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: Jeon, Byoung-Ki, LEE, Kook-Yeon, Kim, Jin-Won
• Application Number:
  US11/833,554
• Publication Number:
  US 20080086260A1
• Time in Patent Office: Days
• US Class Current: 701/200
• CPC Class Codes: G01C 21/3608 using speech input, e.g. using speech recognition

Abstract

An in-vehicle voice recognition apparatus and method for outputting a voice for notifying when a factor interfering with voice recognition is detected on a road on which a vehicle travels. A camera unit takes an image of the road on which the vehicle travels and transmits the taken road image to a navigation system. An acceleration sensor measures acceleration variation values of the vehicle during traveling and transmits the measured acceleration variation values of the vehicle to the navigation system. The navigation system controls an operation for outputting a voice when a factor interfering with the voice recognition is determined to be present on the road on which the vehicle travels through at least one of the road image received from the camera unit, the acceleration variation values of the vehicle received from the acceleration sensor, and map data.

Claims

1. An in-vehicle voice recognition apparatus operating according to a road condition, the apparatus comprising:

a camera unit for taking an image of a road on which a vehicle travels and transmitting the taken road image to a navigation system;

an acceleration sensor for measuring acceleration variation values of the vehicle during traveling and transmitting the measured acceleration variation values of the vehicle to the navigation system; and

the navigation system for controlling an operation for outputting a voice for notifying when a factor interfering with voice recognition is determined to be present on the road on which the vehicle travels through at least one of the road image received from the camera unit, the acceleration variation values of the vehicle received from the acceleration sensor, and map data.

2. The in-vehicle voice recognition apparatus of claim 1, wherein the navigation system comprises:

a road condition determination unit for determining whether a factor interfering with the voice recognition is present on the road on which the vehicle travels through the at least one of the road image received from the camera unit, the acceleration variation values of the vehicle received from the acceleration sensor, and the map data.

3. The in-vehicle voice recognition apparatus of claim 2, wherein the road condition determination unit controls an operation for outputting a voice for notifying when an object interfering with the voice recognition is determined to be present on the road on which the vehicle travels through the road image received from the camera unit.

4. The in-vehicle voice recognition apparatus of claim 2, wherein the road condition determination unit controls an operation for outputting a voice for notifying when an object interfering with the voice recognition is determined to be present on the road on which the vehicle travels through the acceleration variation values of the vehicle received from the acceleration sensor.

5. The in-vehicle voice recognition apparatus of claim 2, wherein the road condition determination unit determines whether an object interfering with the voice recognition is present on the road on which the vehicle travels through the road image received from the camera unit, determines whether an object interfering with the voice recognition is present on the road on which the vehicle travels through the acceleration variation values of the vehicle received from the acceleration sensor when the interfering object is determined to be present through the road image, and controls an operation for outputting a voice for notifying when an interfering object is determined to be present through the acceleration variation values of the vehicle.

6. The in-vehicle voice recognition apparatus of claim 2, wherein the road condition determination unit controls an operation for outputting a voice for notifying when the vehicle travels on a curve road interfering with the voice recognition through the map data.

7. The in-vehicle voice recognition apparatus of claim 1, wherein the navigation system controls an operation for outputting a voice for notifying that a factor interfering with the voice recognition is present on the road on which the vehicle travels, and an operation for outputting a voice for requesting a user to re-input a voice command according to a factor interfering with the voice recognition on the road.

8. The in-vehicle voice recognition apparatus of claim 1, wherein the navigation system comprises:

a voice recognition unit for processing voice input by a user.

9. The in-vehicle voice recognition apparatus of claim 1, wherein the acceleration sensor is installed in the navigation system.

10. An in-vehicle voice recognition method operating according to a road condition, the method comprising the steps of:

checking road conditions during traveling in navigation operation mode when a voice recognition mode operates in a vehicle; and

outputting a voice for notifying when a factor interfering with voice recognition is determined to be present on a road on which the vehicle travels.

11. The in-vehicle voice recognition method of claim 10, wherein the step of checking road conditions comprises:

receiving a road image from a camera unit while the vehicle travels; and

determining whether an object interfering with the voice recognition is present on the road on which the vehicle travels when an interfering object is searched for from the road image.

12. The in-vehicle voice recognition method of claim 10, wherein the step of checking road condition comprises:

receiving acceleration variation values (X_acc and Y_acc) of the vehicle from an acceleration sensor;

comparing a first acceleration variation value (X_acc) of the acceleration variation values with a first shock threshold value (X_th);

comparing a second acceleration variation value (Y_acc) of the acceleration variation values with a second shock threshold value (Y_th) when the first acceleration variation value (X_acc) is greater than the first shock threshold value (X_th); and

determining that an object interfering with the voice recognition is present on the road on which the vehicle travels when the second acceleration variation value (Y_acc) of the acceleration variation values is greater than the second shock threshold value (Y_th).

13. The in-vehicle voice recognition method of claim 10, wherein the step of checking road conditions comprises:

determining whether an object interfering with the voice recognition is present on the road on which the vehicle travels when an interfering object is searched for from a road image received from a camera unit;

receiving acceleration variation values (X_acc and Y_acc) of the vehicle from an acceleration sensor when an interfering object is determined to be present through the road image; and

determining that an object interfering with the voice recognition is present on the road on which the vehicle travels when a first acceleration variation value (X_acc) of the acceleration variation values is greater than a first shock threshold value (X_th) and a second acceleration variation value (Y_acc) of the acceleration variation values is greater than a second shock threshold value (Y_th).

14. The in-vehicle voice recognition method of claim 10, wherein the step of checking road conditions comprises:

checking road conditions through map data while the vehicle travels; and

determining that the vehicle travels on a curve road interfering with the voice recognition when the vehicle travels on the curve road.

15. The in-vehicle voice recognition method of claim 10, wherein the step of outputting a voice comprises:

determining whether a voice command has been input from a user when a factor interfering with the voice recognition is determined to be present on the road on which the vehicle travels;

requesting a voice command re-input through voice while notifying that a factor interfering with the voice recognition is present on the road on which the vehicle travels when the voice command has been input; and

outputting a voice for notifying that a factor interfering with the voice recognition is present on the road on which the vehicle travels when the voice command has not been input.

16. An in-vehicle voice recognition method operating according to a road condition, the method comprising the steps of:

checking road conditions during traveling when a user inputs a voice command in a navigation operation mode of a vehicle in which a voice recognition mode operates; and

requesting a voice command re-input through voice when a factor interfering with voice recognition is determined to be present on a road on which the vehicle travels according to a result obtained by checking road conditions.

17. The in-vehicle voice recognition method of claim 16, wherein the step of checking road conditions comprises:

determining whether an object interfering with the voice recognition is present on the road on which the vehicle travels through at least one of a road image received from a camera unit and acceleration variation values of the vehicle received from an acceleration sensor; and

determining whether the vehicle travels on a curve road interfering with the voice recognition through map data.

18. The in-vehicle voice recognition method of claim 17, wherein the step of determining whether an object interfering with the voice recognition is present comprises:

receiving a road image from the camera unit while the vehicle travels; and

determining that an object interfering with the voice recognition is present on the road on which the vehicle travels when an image of the interfering object is searched for from the road image.

19. The in-vehicle voice recognition method of claim 17, wherein the step of determining whether an object interfering with the voice recognition is present comprises:

receiving acceleration variation values (X_acc and Y_acc) of the vehicle from the acceleration sensor;

comparing a first acceleration variation value (X_acc) of the acceleration variation values with a first shock threshold value (X_th);

comparing a second acceleration variation value (Y_acc) of the acceleration variation values with a second shock threshold value (Y_th) when the first acceleration variation value (X_acc) is greater than the first shock threshold value (X_th); and

determining that the object interfering with the voice recognition is present on the road on which the vehicle travels when the second acceleration variation value (Y_acc) of the acceleration variation values is greater than the second shock threshold value (Y_th).

20. The in-vehicle voice recognition method of claim 17, wherein the step of determining whether an object interfering with the voice recognition is present comprises:

determining whether an object interfering with the voice recognition is present on the road on which the vehicle travels when the interfering object is searched for from the road image received from the camera unit;

receiving acceleration variation values (X_acc and Y_acc) of the vehicle from the acceleration sensor when the interfering object is determined to be present through the road image; and

determining that an object interfering with the voice recognition is present on the road on which the vehicle travels when a first acceleration variation value (X_acc) of the acceleration variation values is greater than a first shock threshold value (X_th) and a second acceleration variation value (Y_acc) of the acceleration variation values is greater than a second shock threshold value (Y_th).

21. The in-vehicle voice recognition method of claim 17, wherein the step of determining whether the vehicle travels on a curved road comprises:

checking road conditions through the map data while the vehicle travels; and

determining that the vehicle travels on the curved road interfering with the voice recognition when the vehicle travels on the curved road.