Systems and methods for enhanced hearing protection and data recording are disclosed. Recorded data is analyzed to determine user compliance with standard operating procedures. Additionally, hearing loss is monitored using neurological response of the auditory system to environmental noise. Optional sensors such as temperature sensors, accelerometers, GPS sensors are used to correlate noise data with external events. An optional acoustic source may be used to identify unusual conditions such as ear drum perforations and capture information related to health of the tympanic membrane and external auditory meatus. The systems and methods may also be used to protect the hearing and utility of military working dogs.

A system for reducing noise for a user includes a first detector configured to generate a first noise signal, wherein the first noise signal is a representation of a first noise that is transmitted to the user through a first sound pathway, and a second detector configured to generate a second noise signal, wherein the second noise signal indicates a second noise perceived by the user. The system also includes a processor configured to determine a noise correction signal based on the first noise signal and/or the second noise signal, and a speaker configured to generate a sound for reducing the noise based on the noise correction signal.

An audio processing device (100) includes a correction microphone (110), a reference microphone (120), a classification unit (130), an active noise cancellation (ANC) unit (140), and a speaker (150). The correction microphone is arranged in an area adjacent to an ear of a user of the device and picks up acoustic signals in the area and outputs same as a correction signal. The reference microphone picks up surrounding noises (124) from a surrounding area of the user and outputs same as a reference signal. The classification unit receives the reference signal and splits the reference signal corresponding to a spectrum and amplitude thereof into signal components of two or more classes and outputs a classified signal. The ANC unit receives and processes the correction signal based on the classified signal and outputs a corresponding audio signal. The speaker receives the audio signal and provides a corresponding acoustic signal output.

An active noise cancellation system includes a sensor operable to sense environmental noise and generate a corresponding reference signal, a fixed noise cancellation filter including a predetermined model of the active noise cancellation system operable to generate an anti-noise signal, and a tunable noise cancellation filter operable to modify the anti-noise signal in accordance with stored coefficients, wherein the tunable noise cancellation filter is further operable to modify the stored coefficients in real-time based on user feedback and generate a tuned anti-noise signal that models tunable deviations from the predetermined noise model. A graphical user interface is operable to receive user adjustments of tunable parameters in real-time, the tunable parameters corresponding to at least one of the stored coefficients.

The present invention provides an audio adjustment method and associated audio adjustment device for active noise cancellation. The audio adjustment method includes: broadcasting a single tone having a frequency f.sub.k; generating M sets of filtering coefficients regarding the frequency f.sub.k, wherein each set of filtering coefficients within the M sets of filtering coefficients includes a combination of an amplitude and a phase, and the M sets of filtering coefficients are different from one another; determining an m.sup.th set of filtering coefficients from the M sets of filtering coefficients to minimize energy corresponding to the frequency f.sub.k; and adjusting the single tone with the m.sup.th set of filtering coefficients to obtain an adjusted single tone corresponding to the frequency f.sub.k.

A method and device for detecting whether a headset is on ear. Microphone signals from a plurality of microphones are used to derive a plurality of signal feature measures, which are normalized to a common reference scale. The signal feature measures are weighted based upon detected signal conditions in the microphone signals. The normalized and variably weighted signal feature measures are then combined to produce an output indication of whether a headset is on ear.

A first input signal captured by one or more sensors associated with an ANR headphone is received. A frequency domain representation of the first input signal is computed for a set of discrete frequencies, based on which a set of parameters is generated for a digital filter disposed in an ANR signal flow path of the ANR headphone, the set of parameters being such that a loop gain of the ANR signal flow path substantially matches a target loop gain. Generating the set of parameters comprises: adjusting a response of the digital filter at frequencies (e.g., spanning between 200 Hz-5 kHz). A response of at least 3 second order sections of the digital filter is adjusted. A second input signal in the ANR signal flow path is processed using the generated set of parameters to generate an output signal for driving the electroacoustic transducer of the ANR headphone.

A method for reducing noise in at least one monitor position in a vehicle compartment by actively controlling the power of a primary noise (d.sub.m(t)) as sensed at two or more control positions in the vehicle compartment, the method comprising the updating of filter coefficient(s) of (an) adaptive filter(s) (w(n)) based on variable contribution of error sensors and actuator(s) for different noise source operating conditions.

The disclosure includes a headset comprising one or more earphones including one or more sensing components. The headset also includes one or more voice microphones to record a voice signal for voice transmission. The headset also includes a signal processor coupled to the earphones and the voice microphones. The signal processor is configured to employ the sensing components to determine a wearing position of the headset. The signal processor then selects a signal model for noise cancellation. The signal model is selected from a plurality of signal models based on the determined wearing position. The signal processor also applies the selected signal model to mitigate noise from the voice signal prior to voice transmission.

A propagation delay identification system for active noise cancelation for a vehicle audio system may include at least one sensor configured to transmit sensor data indicative of acceleration data, hammer data and microphone data, at least one output sensor configured to transmit an impulse response, and a processor. The processor may be programmed to receive the sensor data and pulse function, identify a propagation path delay between the microphone data and a cross-correlation between the acceleration data and hammer data, and generate a source pulse function. The processor further identify a secondary path delay based on an arrival time of peak energy of a convolution of the impulse response and filtered pulse function, and apply a binary limiter to a reference signal in response to the secondary path delay exceeding the propagation path delay to reduce boosting of an audio signal based on coherent reference and error signals.