Abstract: In one aspect of the present disclosure, method includes: receiving neural data responsive to a listener's auditory attention; receiving an acoustic signal responsive to a plurality of acoustic sources; for each of the plurality of acoustic sources: generating, from the received acoustic signal, audio data comprising one or more features of the acoustic source, forming combined data representative of the neural data and the audio data, and providing the combined data to a classification network configured to calculate a similarity score between the neural data and the acoustic source using one or more similarity metrics; and using the similarity scores calculated for each of the acoustic sources to identify, from the plurality of acoustic sources, an acoustic source associated with the listener's auditory attention.

Abstract: In some embodiments, a method for enforcing hearing protection safety compliance can include: obtaining one or more images of an ear of a user; preprocessing the one or more images to localize the user's ear and/or a hearing protection device (HPD) worn thereabout; providing the one or more preprocessed images to a classification network; receiving an estimated attenuation value as output of the classification network, the estimated attenuation value corresponding to an estimate of the noise attenuation provided by the HPD work about the user's ear; and automatically enforcing compliance with a safety standard using the estimated noise attenuation value.

Abstract: In one aspect of the present disclosure, method includes: receiving neural data responsive to a listener's auditory attention; receiving an acoustic signal responsive to a plurality of acoustic sources; for each of the plurality of acoustic sources: generating, from the received acoustic signal, audio data comprising one or more features of the acoustic source, forming combined data representative of the neural data and the audio data, and providing the combined data to a classification network configured to calculate a similarity score between the neural data and the acoustic source using one or more similarity metrics; and using the similarity scores calculated for each of the acoustic sources to identify, from the plurality of acoustic sources, an acoustic source associated with the listener's auditory attention.