Abstract: A device is wearable by a user and includes one or more microphones, an output component, and a network interface. The device receives, from the one or more microphones, audio data associated with sound captured within an environment of the user, and determines that the sound is associated with the user. Based on the sound being associated with the user, the device determines one or more biomarkers associated with the sound. A threshold associated with the user having a pathological or behavioral state is determined and when the one or more biomarkers satisfy the threshold, the sound is determined to be indicative of the user having the pathological or behavioral state. The device outputs a first notification on the output component and sends data associated with a second notification to be output on an electronic device associated with a caregiver of the user.

Abstract: A speech therapy device includes a first microphone, a second microphone, and output components. The speech therapy device receives first audio data from the first microphone and second audio data from the second microphone. The first audio data and the second audio data are associated with a sound captured in an environment of the speech therapy device. The speech therapy device determines, based at least in part on the first audio data and the second audio data, that the sound is associated with user speech of the user. Based at least in part on the sound being associated with the user speech, the speech therapy device determines one or more characteristics associated with the user speech, and determines that the one or more characteristics are indicative of hypophonia. When the one or more characteristics are indicative of hypophonia, the speech therapy device outputs a notification via the output components.

Abstract: A device includes one or more sensors and one or more output components. The device receives, from the one or more sensors, data, and determines that the data is indicative of sound generated from an animal. Based at least in part on the data being indicative the sound generated from the animal, the device determines one or more biomarkers associated with the sound. The one or more biomarkers include at least an amplitude associated with the sound. The device determines that the one or more biomarkers fail to satisfy a threshold associated with a pathological state of the animal. The device then causes, based at least in part on the one or more biomarkers failing to satisfy the threshold, output of a notification via the one or more output components.

Abstract: A vocal dosimeter receives a first set of sensor data as sensor outputs through a sensor array including an acoustic sensor, a piezoelectric sensor, and an accelerometer. The dosimeter generates normalized sensor waveforms by filtering for an amplitude range from the quadratic mean of each individual raw sensor waveform through control of a first band-pass filter, and operates laryngeal activity detection to configure a vocalization filter with a vocalization threshold within a vocalization analysis window. A feedback control is generated in response to identifying a statistically similar vocalization amplitude in a vocal characteristic database.

Abstract: A vocal dosimeter receives a first set of sensor data as sensor outputs through a sensor array including an acoustic sensor, a piezoelectric sensor, and an accelerometer. The dosimeter generates normalized sensor waveforms by filtering for an amplitude range from the quadratic mean of each individual raw sensor waveform through control of a first band-pass filter, and operates laryngeal activity detection to configure a vocalization filter with a vocalization threshold within a vocalization analysis window. A feedback control is generated in response to identifying a statistically similar vocalization amplitude in a vocal characteristic database.