Method and system for adjusting audio signals by a digital signal processor

1 . A method for adjusting audio signals by a digital signal processor (DSP), the method comprising:

receiving an audio signal;

adjusting the audio signal; and

transferring the adjusted audio signal to be output by one or more speakers;

receiving sensor data indicative of an air environment around the one or more speakers;

generating an optimized dynamic compensation transfer function by training a neural network using a pre-determined set of sensor data including pre-determined temperature data, altitude data, and humidity data; and

adjusting the audio signal based on the sensor data and the dynamic compensation transfer function.

2 . The method of claim 1 , wherein the sensor data is indicative of the air environment around the one or more speakers comprise one or more of temperature data, altitude data or humidity data.

3 . The method of claim 1 , wherein adjusting the audio signal comprises adjusting the audio signal based on at least one of a frequency of the audio signal and splitting the audio signal into a plurality of signal bands using a plurality of digital filters.

4 . The method of claim 1 , wherein adjusting the audio signal further comprises adjusting at least one of a gain and a time lag of at least a part of the received audio signal and at least one of a plurality of signal bands of the received audio signal.

5 . The method of claim 4 , wherein adjusting the audio signal and the at least one of the gain and the time lag is based on the sensor data as an input of the dynamic compensation transfer function.

6 . The method of claim 4 , wherein adjusting the audio signal and at least one of the gain and the time lag comprises:

determining at least one of a pre-set gain and a pre-set time lag of the audio signal or at least the part of the audio signal;

determining at least one of an optimized gain and time lag based on the sensor data using a dynamic compensation transfer function; and

adjusting the at least one of the pre-set gain and the time lag in response the at least one of the pre-set gain and the time lag differing from the at least one of the optimized gain and the time lag.

7 . The method of claim 4 , wherein adjusting the audio signal and the at least one of the gain and the time lag comprises:

determining a deterministic model of the gain and/or the time lag of the audio signal or at least part of the audio signal in dependence of the sensor data; and

adjusting the audio signal or at least the part of the audio signal using the deterministic model.

8 . The method of claim 1 , wherein the one or more speakers are located in a closed environment of a vehicle.

9 . A computer program product comprising a computer-readable storage medium including instructions that, when executed by the DSP perform the method of claim 1 .

10 . A system for adjusting audio signals, the system comprising:

one or more sensors;

one or more speakers;

an amplifier comprising a digital signal processor (DSP) and being configured to:

receive an audio signal;

adjust the audio signal;

transfer the adjusted audio signal to be output by the one or more speakers;

receive sensor data indicative of an air environment around the one or more speakers;

generate an optimized dynamic compensation transfer function by training a neural network using a pre-determined set of sensor data including pre-determined temperature data, altitude data, and humidity data; and

adjust the audio signal based on the sensor data and the dynamic compensation transfer function.

11 . The system of claim 10 , wherein the one or more sensors comprise one or more of a temperature sensor, an altitude sensor and a humidity sensor.

12 . The system of claim 10 , wherein at least one of the one or more speakers and the amplifier are located in a closed environment of a vehicle.

13 . A method for adjusting audio signals, the method comprising:

receiving an audio signal;

adjusting the audio signal;

outputting the adjusted audio signal via one or more speakers;

receiving sensor data indicative of an air environment around the one or more speakers;

generating an optimized dynamic compensation transfer function by training a neural network using a pre-determined set of sensor data including pre-determined temperature data, altitude data, and humidity data; and

adjusting the audio signal based on the sensor data and the dynamic compensation transfer function.

14 . The method of claim 13 , wherein the sensor data indicative of the air environment around the one or more speakers comprise one or more of temperature data, altitude data or humidity data.

15 . The method of claim 13 , wherein adjusting the audio signal comprises adjusting the audio signal based on at least one of a frequency of the audio signal and splitting the audio signal into a plurality of signal bands using a plurality of digital filters.

16 . The method of claim 13 , wherein adjusting the audio signal further comprises adjusting at least one of a gain and a time lag of at least a part of the received audio signal and at least one of a plurality of signal bands of the received audio signal.

17 . The method of claim 16 , wherein adjusting the audio signal and the at least one of the gain and the time lag is based on the sensor data as an input of the dynamic compensation transfer function.

18 . The method of claim 16 , wherein adjusting the audio signal and at least one of the gain and the time lag comprises:

determining at least one of a pre-set gain and a pre-set time lag of the audio signal or at least the part of the audio signal;

determining at least one of an optimized gain and time lag based on the sensor data using a dynamic compensation transfer function; and

adjusting the at least one of the pre-set gain and the time lag in response the at least one of the pre-set gain and the time lag differing from the at least one of the optimized gain and the time lag.