Patent ID: 11950069
Assignee: HARMAN INTERNATIONAL INDUSTRIES, INCORPORATED
Field: Audio-visual technology (Electrical engineering)
Classification: CPC H  A  G | IPC G  H

Claim 0:
1. A method for an audio signal processor, comprising:
receiving an audio signal from an audio source;
receiving headphone position data from a sensor coupled to a headphone assembly rendering the audio signal to a user;
receiving head position data from a second sensor coupled to the headphone assembly rendering the audio signal to the user;
receiving one or more transducer parameters from one or more transducers of the headphone assembly;
monitoring one or more acoustic profile parameters of the audio signal based on the one or more transducer parameters;
monitoring one or more listener-headphone engagement parameters based on the headphone position data; and
adjusting the audio signal and/or acoustic stimulation based on the monitoring of the one or more acoustic profile parameters, the monitoring of one or more listener-headphone engagement parameters, and the head position data; and
determining an instantaneous perceived loudness based on the monitoring of the one or more acoustic profile parameters, wherein the audio signal is adjusted based on the instantaneous perceived loudness and the monitoring of the one or more listener-headphone engagement parameters;
wherein the one or more listener-headphone engagement parameters include a current engagement status of the headphone assembly with respect to the user and a duration of active engagement of the headphone assembly with respect to the user;
wherein adjusting the audio signal includes one or more of filtering impulsive sounds having an intensity greater than a threshold intensity, reducing an overall intensity of the audio signal, reducing an intensity of selected frequencies of the audio signal, and adaptively shaping a sound spectrum over time, and wherein the one or more acoustic profile parameters of the audio signal are generated from the one or more transducer parameters and further based on extracting features from the audio signal, including temporal features, spectral features, and overall frequency-dependent intensity levels.