Variable noise reduction algorithm based on vehicle conditions

• US 20020097884A1
• Filed: 01/25/2001
• Published: 07/25/2002
• Est. Priority Date: 01/25/2001
• Status: Abandoned Application

• Current Assignee: Ericsson, Inc. (Telefonaktiebolaget LM Ericsson)
• Original Assignee: Ericsson, Inc. (Telefonaktiebolaget LM Ericsson)
• Inventors: Cairns, Douglas A.
• Application Number:
  US09/769,925
• Publication Number:
  US 20020097884A1
• Time in Patent Office: Days
• US Class Current: 381/71.4
• CPC Class Codes: G10K 11/17813 characterised by the analysis of the acoustic paths, e.g. estimating, calibrating or testing of transfer functions or cross-terms
• CPC Class Codes: G10K 11/17833 by using a self-diagnostic function or a malfunction prevention function, e.g. detecting abnormal output levels
• CPC Class Codes: G10K 2210/128 Vehicles
• CPC Class Codes: G10K 2210/1281 Aircraft, e.g. spacecraft, airplane or helicopter
• CPC Class Codes: G10K 2210/1282 Automobiles
• CPC Class Codes: G10K 2210/1283 Trains, trams or the like
• CPC Class Codes: G10K 2210/3033 Information contained in memory, e.g. stored signals or transfer functions
• CPC Class Codes: G10K 2210/321 Physical
• CPC Class Codes: G10K 2210/3214 Architectures, e.g. special constructional features or arrangements of features
• CPC Class Codes: G10K 2210/3219 Geometry of the configuration

Abstract

Different parameters are supplied to a noise reduction algorithm based on the detection of different vehicle conditions, thereby allowing the noise reduction algorithm to process audio input differently depending on the corresponding vehicle conditions, such as speed, motor rpm, radio on/off status, window open/closed status, occupancy and position of vehicle seat(s), or any combination thereof. One or more vehicle conditions are detected by the vehicle and communicated to a noise reduction control device that determines the appropriate noise reduction algorithm parameters to use based on the detected vehicle conditions, advantageously with reference to a plurality of stored sets of noise reduction algorithm parameters previously established through a calibration process and stored in memory. Received audio input from a microphone array associated with the vehicle may be processed by the noise reduction algorithm as adapted by the appropriate parameters and used by a mobile terminal or the vehicle as appropriate.

Claims

1. A method of reducing audio noise transmitted by a wireless communications mobile terminal associated with a vehicle, comprising:

detecting one or more vehicle conditions by said vehicle, wherein said vehicle conditions relate to the position of one or more seats within said vehicle;

communicating said vehicle conditions to a noise reduction control device associated with said vehicle;

determining one or more noise reduction algorithm parameters based on said vehicle conditions by said noise reduction control device by referencing a plurality of sets of noise reduction parameters previously stored in memory associated with said vehicle, said sets corresponding to a plurality of vehicle conditions;

adapting a noise reduction algorithm in response to said vehicle conditions by applying said noise reduction algorithm parameters to vary said noise reduction algorithm;

receiving audio input at a microphone array associated with said vehicle; and

processing said audio according to said noise reduction algorithm as adapted by said noise reduction algorithm parameters and transmitting an RF signal based thereon.

2. The method of claim 1 wherein determining one or more of said noise reduction parameters based on said detected vehicle conditions comprises selecting one of said stored sets of noise reduction parameters and wherein applying said noise reduction parameters to vary said noise reduction algorithm comprises applying said selected set of noise reduction parameters to vary said noise reduction algorithm.

3. The method of claim 2 wherein selecting one of said stored sets of noise reduction parameters comprises selecting the stored set of noise reduction parameters that corresponds closest to said detected vehicle conditions.

4. The method of claim 1 wherein determining said noise reduction parameters based on said detected status comprises selecting more than one of said stored sets of noise reduction parameters based on said vehicle conditions and performing a weighted combination thereof.

5. The method of claim 1 wherein said vehicle is a first vehicle and wherein said microphone array is a first microphone array associated with said first vehicle and further comprising:

associating a second microphone array with a second vehicle;

gathering noise reduction calibration data for a plurality of vehicle conditions using said second vehicle and said second microphone array;

computing reference noise reduction parameters for a plurality of vehicle conditions based on said calibration data;

storing sets of said reference noise reduction parameters in memory with corresponding vehicle condition indicators; and

associating said memory with said first vehicle.

6. A method of providing calibration parameters to a noise reduction algorithm associated with a second vehicle, comprising:

gathering noise reduction calibration data for a plurality of vehicle conditions using a first vehicle;

computing reference noise reduction parameters for a plurality of vehicle conditions based on said calibration data;

storing sets of said reference noise reduction parameters in memory with corresponding vehicle condition indicators; and

associating said memory with a second vehicle prior to first possession of said second vehicle by any retail customer.

7. The method of claim 6 wherein associating said memory with said second vehicle prior to first possession of said second vehicle by any retail customer comprises associating said memory with said second vehicle during manufacture of said second vehicle.

8. The method of claim 6 wherein said vehicle conditions relate to the position of one or more seats within said vehicle.

9. The method of claim 8 wherein said vehicle conditions relate to the occupancy and position of one or more seats within said vehicle.

10. The method of claim 6 wherein said vehicle conditions relate to one or more of the characteristics selected from the group consisting of vehicle speed, vehicle motor rpm, vehicle radio on/off status, open/closed status of one or more vehicle windows, position of one or more vehicle seats, and any combination thereof.

11. The method of claim 6 wherein gathering said noise reduction calibration data for said plurality of vehicle conditions using said first vehicle comprises gathering said noise reduction calibration data for said plurality of vehicle conditions using a first microphone array associated with said first vehicle.

12. The method of claim 11 wherein said microphone array comprises more than one microphone.

14. The method of claim 13 further comprising storing a plurality of sets of noise reduction parameters in memory associated with said vehicle prior to said detecting, said sets corresponding to a plurality of vehicle conditions;

and wherein determining one or more of said noise reduction parameters based on said detected vehicle conditions comprises referencing said stored sets.

15. The method of claim 14 wherein determining one or more of said noise reduction parameters based on said detected vehicle conditions comprises selecting one of said stored sets of noise reduction parameters and wherein applying said noise reduction parameters to vary said noise reduction algorithm comprises applying said selected set of noise reduction parameters to vary said noise reduction algorithm.

16. The method of claim 15 wherein selecting one of said stored sets of noise reduction parameters comprises selecting the stored set of noise reduction parameters that corresponds closest to said detected vehicle conditions.

17. The method of claim 14 wherein determining said noise reduction parameters based on said detected status comprises selecting more than one of said stored sets of noise reduction parameters based on said vehicle conditions and performing a weighted combination thereof.

18. The method of claim 13 wherein said vehicle conditions relate to the position of one or more seats within said vehicle.

19. The method of claim 18 wherein said vehicle conditions relate to the occupancy and position of one or more seats within said vehicle.

20. The method of claim 13 wherein said vehicle conditions relate to one or more of the characteristics selected from the group consisting of vehicle speed, vehicle motor rpm, vehicle radio on/off status, open/closed status of one or more vehicle windows, position of one or more vehicle seats, and any combination thereof.

21. The method of claim 13 further comprising transmitting an RF signal based on said noise reduced audio signal.

22. The method of claim 13 wherein said vehicle is a first vehicle and wherein said microphone array is a first microphone array associated with said first vehicle and further comprising:

associating a second microphone array with a second vehicle;

gathering noise reduction calibration data for a plurality of vehicle conditions using said second vehicle and said second microphone array;

computing reference noise reduction parameters for a plurality of vehicle conditions based on said calibration data;

storing sets of said reference noise reduction parameters in memory with corresponding vehicle condition indicators; and

associating said memory with said first vehicle

wherein adapting said noise reduction algorithm in response to said vehicle conditions comprises communicating at least one of said sets of said reference noise reduction parameters from said memory to said noise reduction control device associated with said vehicle.

24. The method of claim 23 wherein said vehicle conditions relate to the position of one or more seats within said vehicle.

26. The method of claim 25 further comprising storing a plurality of sets of noise reduction parameters in memory associated with said vehicle prior to said detecting, said sets corresponding to a plurality of vehicle conditions;

and wherein assigning values to said noise reduction algorithm parameters based on both said detected vehicle conditions and at least one previously stored set of noise reduction algorithm parameters comprises referencing said stored sets.

27. The method of claim 26 wherein assigning values to said noise reduction algorithm parameters based on both said detected vehicle conditions and at least one previously stored set of noise reduction algorithm parameters comprises selecting one of said stored sets of noise reduction parameters.

28. The method of claim 27 wherein selecting one of said stored sets of noise reduction parameters comprises selecting the stored set of noise reduction parameters that corresponds closest to said detected vehicle conditions.

29. The method of claim 26 wherein assigning values to said noise reduction algorithm parameters based on both said detected vehicle conditions and at least one previously stored set of noise reduction algorithm parameters comprises selecting more than one of said stored sets of noise reduction parameters based on said vehicle conditions and performing a weighted combination thereof.

13. A method of generating a noise reduced audio signal, comprising:

detecting one or more vehicle conditions by a vehicle;

communicating said vehicle conditions to a noise reduction control device associated with a said vehicle;

determining one or more noise reduction algorithm parameters based on said vehicle conditions by said noise reduction control device;

adapting a noise reduction algorithm in response to said vehicle conditions by applying said noise reduction algorithm parameters to vary said noise reduction algorithm;

receiving audio input at a microphone array associated with said vehicle; and

processing said audio according to said noise reduction algorithm as adapted by said noise reduction algorithm parameters to produce said noise reduced audio signal.

23. A method of generating a noise reduced audio signal, comprising:

providing a noise reduction algorithm modifiable based on predefined noise reduction algorithm parameters;

detecting one or more vehicle conditions by a vehicle;

selecting a set of noise reduction algorithm parameters from a plurality of stored sets of noise reduction algorithm parameters based on said detected conditions;

said stored sets being stored in a memory associated with said vehicle;

modifying said noise reduction algorithm in response to said vehicle conditions based on said selected set of noise reduction algorithm parameters;

receiving audio input at a microphone array associated with said vehicle; and

processing said audio according to said noise reduction algorithm as adapted by said noise reduction algorithm parameters to produce said noise reduced audio signal.

25. A method of generating a noise reduced audio signal, comprising:

processing received audio input by a noise reduction algorithm that varies according to values assigned to a plurality of noise reduction algorithm parameters; and

detecting one or more vehicle conditions by a vehicle;

assigning values to said noise reduction algorithm parameters based on both said detected vehicle conditions and at least one previously stored set of noise reduction algorithm parameters;

receiving audio input at a microphone array associated with said vehicle; and

processing said audio according to said noise reduction algorithm as adapted by said noise reduction algorithm parameters to produce said noise reduced audio signal.

30. A noise reduction control apparatus adapted to determine one or more noise reduction algorithm parameters based on received information indicative of at least one vehicle condition and to process audio input with a noise reduction algorithm that varies according to said noise reduction algorithm parameters.

31. The apparatus of claim 30 further comprising a microphone array associated with a first vehicle and communicating said audio input to said noise reduction control device.

32. The apparatus of claim 31 wherein said microphone array comprises more than one microphone.