Abstract: In some examples, a system includes a storage device; and processing circuitry having access to the storage device. The processing circuitry is configured to receive information indicative of a media dataset, where the media dataset corresponds to an object; and analyze the media dataset to compute a corresponding set of operating condition weight values. Additionally, the processing circuitry is configured to compare the set of operating condition weight values corresponding to the media dataset with a plurality of sets of reference operating condition weight values that each correspond to a different reference media dataset of a plurality of reference media datasets; and determine, based on the comparison of the set of operating condition weight values with the plurality of sets of reference operating condition weight values, an indication of a capability of a trained machine learning model to correctly verify the object in the media dataset.

Abstract: In an embodiment, the disclosed technologies include automatically recognizing speech content of an audio stream that may contain multiple different classes of speech content, by receiving, by an audio capture device, an audio stream; outputting, by one or more classifiers, in response to an inputting to the one or more classifiers of digital data that has been extracted from the audio stream, score data; where a score of the score data indicates a likelihood that a particular time segment of the audio stream contains speech of a particular class; where the one or more classifiers use one or more machine-learned models that have been trained to recognize audio of one or more particular classes to determine the score data; using a sliding time window process, selecting particular scores from the score data; using the selected particular scores, determining and outputting one or more decisions as to whether one or more particular time segments of the audio stream contain speech of one or more particular classes

Abstract: An electronic device for providing health information or assistance includes an input configured to receive at least one type of signal selected from sound signals, verbal signals, non-verbal signals, and combinations thereof, a communication module configured to send information related to the at least one user and his/her environment to a remote device, including the sound signals, non-verbal signals, and verbal signals, the remote device being configured to analyze a condition of the at least one user and communicate condition signals to the electronic device, a processing module configured to receive the condition signals and to cause the electronic device to engage in a passive monitoring mode or an active engagement and monitoring mode, the active engagement and monitoring mode including, but not limited to, verbal communication with the at least one user, and an output configured to engage the at least one user in verbal communication.

Abstract: In an embodiment, the disclosed technologies include automatically recognizing speech content of an audio stream that may contain multiple different classes of speech content, by receiving, by an audio capture device, an audio stream; outputting, by one or more classifiers, in response to an inputting to the one or more classifiers of digital data that has been extracted from the audio stream, score data; where a score of the score data indicates a likelihood that a particular time segment of the audio stream contains speech of a particular class; where the one or more classifiers use one or more machine-learned models that have been trained to recognize audio of one or more particular classes to determine the score data; using a sliding time window process, selecting particular scores from the score data; using the selected particular scores, determining and outputting one or more decisions as to whether one or more particular time segments of the audio stream contain speech of one or more particular classes

Abstract: An electronic device for providing health information or assistance includes an input configured to receive at least one type of signal selected from sound signals, verbal signals, non-verbal signals, and combinations thereof, a communication module configured to send information related to the at least one user and his/her environment to a remote device, including the sound signals, non-verbal signals, and verbal signals, the remote device being configured to analyze a condition of the at least one user and communicate condition signals to the electronic device, a processing module configured to receive the condition signals and to cause the electronic device to engage in a passive monitoring mode or an active engagement and monitoring mode, the active engagement and monitoring mode including, but not limited to, verbal communication with the at least one user, and an output configured to engage the at least one user in verbal communication.