Speed dependent equalizing control system

• US 9,118,290 B2
• Filed: 05/29/2012
• Issued: 08/25/2015
• Est. Priority Date: 05/30/2011
• Status: Active Grant

• Current Assignee: Harman Becker Automotive Systems GmbH (Samsung Electronics Co. Ltd.)
• Original Assignee: Harman Becker Automotive Systems GmbH (Samsung Electronics Co. Ltd.)
• Inventors: Christoph, Markus
• Primary Examiner(s): Goins, Davetta W
• Assistant Examiner(s): Etesam, Amir
• Application Number:
  US13/483,039
• Publication Number:
  US 20120308036A1
• Time in Patent Office: 1,183 Days
• Field of Search: 381/58, 381/68
• US Class Current: 1/1
• CPC Class Codes: H03G 3/32 the control being dependent upon ambient noise level or sound level
• CPC Class Codes: H03G 9/005 of digital or coded signals
• CPC Class Codes: H04R 2499/13 Acoustic transducers and sound field adaptation in vehicles
• CPC Class Codes: H04R 29/00 Monitoring arrangements; Testing arrangements for hearing aids H04R25/30; detection of loudspeaker connection H04R5/04; sound-field adaptation dependent on speaker detection H04S7/308

Abstract

A speed dependent equalizing control system for automated design of gain and equalization filter parameters can be used for volume and velocity dependent equalization of audio signals reproduced in a vehicle. The system is configured to develop volume-dependent power spectral density estimations based on a test signal received at a number of different volume levels, and develop non-acoustical parameter-dependent power spectral density estimations based on received noise received at a number of different non-acoustical measurement values representing different states of the vehicle. In one example, the non-acoustical measurement values are different velocities, or speeds, of the vehicle. The system may generate filter parameters of a parameterized equalization filter based on a target equalization curve developed by summation of the volume-dependent power spectral density estimates and the non-acoustical measurement-dependent power spectral density estimates.

Claims

1. A system for automatic determination of at least one of equalization filter parameters or gain parameters used for equalization of audio signals reproduced in a vehicle, the system comprising:

an audio amplifier configured to reproduce an audible test signal using at least one loudspeaker arranged in a passenger compartment of the vehicle so as to generate a corresponding acoustic test signal;

at least one microphone arranged at an at least one desired listening position and configured to sequentially pick up the audible test signal as a measured test signal at different volume levels, as well as a noise signal at different non-acoustical measurement values representing a current state of the vehicle;

a signal acquisition and processing system configured to receive the measured test signal and the noise signal, as well as the corresponding volume levels and non-acoustical measurement values, the signal acquisition and processing system being configured to;

calculate power spectral density estimations, which depend on the volume levels and respectively, on the non-acoustical measurement values, of the measured test signal and the noise signal, respectively,

calculate corresponding masking thresholds, which depend on the volume levels and, respectively on the non-acoustical measurement values, from the power spectral density estimations;

calculate, for each pair of volume levels and non-acoustic measurement values, a target equalization curve, the target equalization curve being composed of non-negative values of a difference between a volume-dependent masking threshold calculated from a test signal power spectral density and a masking threshold calculated from a noise signal power spectral density, which depends on the non-acoustic measurement values; and

calculate, for each pair of volume levels and non-acoustic measurement values, filter parameters of a parameterized filter prototype such that a filter magnitude response of the parameterized filter prototype approximates a corresponding target equalization curve.

2. The system of claim 1, where the audible test signal is a predetermined noise signal having a power spectral density that approximately matches a power spectral density of a real audio signal received from a radio broadcast station.

3. The system of claim 2, where the audible test signal is IEC 268 noise being selectively amplified for frequencies lower than approximately 100 Hz.

4. The system of claim 1, further comprising a high pass filter configured to filter the noise signal, which depends on the non-acoustic measurement value, picked up by the microphone.

5. The system of claim 1, where the masking thresholds are calculated using a Johnston model.

6. The system of claim 1, where the non-acoustic measurement values are representative of at least one of:

a velocity value representing a speed of the vehicle;

a rotational velocity value representing a rotational speed of an engine of the vehicle;

a gear setting of the vehicle;

a window positions;

a position of a convertible top;

or

a state of a fan disposed in the vehicle.

7. The system of claim 1, where the non-acoustic measurement values are a weighted combination of at least two of:

a velocity value representing a speed of the vehicle;

a rotational velocity value representing a rotational speed of an engine of the vehicle;

a gear setting of the vehicle;

a window positions;

a position of a convertible top;

or

a state of a fan disposed in the vehicle.

8. A method for an automatic design of equalization filter and/or gain parameters used for equalization of audio signals reproduced in a vehicle, the method comprising:

reproducing an acoustic test signal using an audio amplifier and at least one loudspeaker arranged in a passenger compartment of the vehicle, the acoustic test signal reproduced at a configurable volume setting;

sequentially picking up the acoustic test signal at different volume settings as a measured test signal with at least one microphone arranged at an at least one desired listening position within the vehicle;

sequentially picking up a noise signal as a measured noise signal with the at least one microphone at different non-acoustical measurement values representing a current state of the vehicle;

calculating power spectral density estimations, which depend on the volume settings and, respectively, on the non-acoustical measurement values, of the measured test signal and the measured noise signal, respectively,

calculating corresponding masking thresholds, which depend on the volume settings and, respectively, on the non-acoustical measurement values, from the power spectral density estimations;

calculating, for each pair of volume settings and non-acoustical measurement values, a target equalization curve, the target equalization curves being composed of non-negative values of the difference between a volume-dependent masking threshold, calculated from a test signal power spectral density, and the masking thresholds, calculated from a noise signal power spectral density, which depends on the non-acoustic measurement value; and

calculating, for each pair of volume levels and non-acoustic measurement values, filter parameters of a parameterized filter prototype such that a filter magnitude response of the parameterized filter prototype approximates a corresponding target equalization curve.

9. The method of claim 8, where the acoustic test signal is a predetermined noise signal having a power spectral density that approximately matches a power spectral density of a real audio signal received form a radio broadcast station.

10. The method of claim 9, where the test signal is IEC 268 noise selectively amplified for frequencies lower than approximately 100 Hz.

11. The method of claim 8, further comprising

high pass filtering the noise signal, which depends on the non-acoustic measurement value, picked up by the microphone.

12. The method of claim 8, where calculating corresponding masking thresholds comprises calculating the masking thresholds using a Johnston model.

13. The method of claim 8, where the non-acoustic measurement values are at least one of:

a velocity value representing a speed of the vehicle;

a rotational velocity value representing a rotational speed of an engine of the vehicle; and

a weighted superposition of a velocity value and a rotational velocity value.

14. The method of claim 8,

where calculating power spectral density estimation comprises:

calculating a plurality of periodograms from the at least one microphone signal; and

averaging the periodograms to obtain, as an estimate, the average of the periodograms.

15. The method of claim 8, where sequentially picking up the acoustic test signal and sequentially picking up the noise signal comprises:

performing a binaural measurement using a left microphone and a right microphone placed in the passengers compartment in positions corresponding to an ear position of a listening person when sitting in the vehicle, thus providing a left sensor signal and a right sensor signal;

and where calculating power spectral density estimations comprises;

calculating a plurality of periodograms from the left sensor signal and from the right sensor signal, respectively, and averaging the periodograms to obtain, as an estimate, the average of the periodograms.

16. A system for automated determination of filter parameters used for equalization of audio signals reproduced in a vehicle, the system comprising:

an audio amplifier configured to drive a loudspeaker to produce audible sound representative of a test signal, a volume level of the audible sound being adjustable;

a signal acquisition and processing system configured to receive first measured signals indicative of audible sound sensed by a sensor at each of a plurality of corresponding volume levels, and second measured signals indicative of noise sensed by a sensor for each of a plurality of corresponding non-acoustical measurement values representing a current state of the vehicle;

the signal acquisition and processing system further configured to generate volume-dependent power spectral density estimates based on the first measured signals at different volume levels, and non-acoustical measurement-dependent power spectral density estimates based on the second measured signals and the corresponding non-acoustical measurement values; and

the signal acquisition and processing system further configured to generate filter parameters of a parameterized equalization filter based on a target equalization curve developed by summation of the volume-dependent power spectral density estimates and the non-acoustical measurement-dependent power spectral density estimates.

17. The system of claim 16, further comprising a sensor configured to independently sense the audible sound and generate the first measured signal, and to independently sense noise and generate the second measured signal.

18. The system of claim 17, where the sensor comprises at least one microphone positioned in a listening position within a passenger cabin of the vehicle.

19. The system of claim 16, where the test signal is a predetermined noise signal representative of spectral content of audio signals in a passenger cabin of the vehicle.

20. The system of claim 16, where the plurality of corresponding non-acoustical measurement values are a plurality of different velocity values representative of different corresponding speeds of the vehicle.