The Mitre Corporation

The United States Government as Represented by the Department of Veterans Affairs

Qian Hu

Stanley M Boykin

Brian P Marx

Stelios Melachrinoudis

Terence M Keane

Keith A Crouch

Matthew E Coarr

Cheryl Clark

Warren R Greiff

Randall K Fish

Joshua J Kraunelis

Fred J Goodman

Seth-David Donald Dworman

Patricia D King

Matthew Coarr

Hiroshi N Fujii

The present disclosure generally relates to a system and method for obtaining a diagnosis of a mental health condition. An exemplary system can receive an audio input; convert the audio input into a text string; identify a speaker associated with the text string; based on at least a portion of the audio input, determine a predefined audio characteristic of a plurality of predefined audio characteristics; based on the determined audio characteristic, identify an emotion corresponding to the portion of the audio input; generate a set of structured data based on the text string, the speaker, the predefined audio characteristic, and the identified emotion; and provide an output for obtaining the diagnosis of the mental disorder or condition, wherein the output is indicative of at least a portion of the set of structured data.

Mental health diagnostics using audio data

Provided is a method for predicting a PTSD diagnosis in a patient comprising receiving audio input data from a patient; determining one or more audio input indicators based on the audio input data, wherein each audio input indicator of the one or more audio input indicators represents a likelihood of a positive PTSD diagnosis based on the audio input data; receiving clinical assessment data from the patient; determining one or more clinical assessment indicators based on the clinical assessment data, wherein each clinical assessment indicator of the one or more clinical assessment indicators represents a likelihood of a positive PTSD diagnosis based on the clinical assessment data; combining the one or more audio input indicators and the one or more clinical assessment indicators using a prediction model chosen by a clinician; and determining a PTSD diagnosis in the patient based on the audio input data and the clinical assessment data.

Systems and methods for human-machine partnered PTSD prediction

Disclosed herein are system, method, and computer program product embodiments for authentication of users of electronic devices by voice biometrics. An embodiment operates by comparing a power spectrum and/or an amplitude spectrum within a frequency range of an audio signal to a criterion, and determining that the audio signal is one of a live audio signal or a playback audio signal based on the comparison.

Methods and systems for biometric-based user authentication by voice

Audio hot spotting is accomplished by specifying query criterion to include a non-lexical audio cue. The non-lexical audio cue can be, e.g., speech rate, laughter, applause, vocal effort, speaker change or any combination thereof. The query criterion is retrieved from an audio portion of a file. A segment of the file containing the query criterion can be provided to a user. The duration of the provided segment can be specified by the user along with the files to be searched. A list of detections of the query criterion within the file can also be provided to the user. Searches can be refined by the query criterion additionally including a lexical audio-cue. A keyword index of topic terms contained in the file can also be provided to the user.

System and method for audio hot spotting

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Lexington, MA, United States of America

Qian Hu