Patents by Inventor Colleen Richey

Colleen Richey has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10478111
    Abstract: A computer-implemented method can include a speech collection module collecting a speech pattern from a patient, a speech feature computation module computing at least one speech feature from the collected speech pattern, a mental health determination module determining a state-of-mind of the patient based at least in part on the at least one computed speech feature, and an output module providing an indication of a diagnosis with regard to a possibility that the patient is suffering from a certain condition such as depression or Post-Traumatic Stress Disorder (PTSD).
    Type: Grant
    Filed: August 5, 2015
    Date of Patent: November 19, 2019
    Assignee: SRI International
    Inventors: Bruce Knoth, Dimitra Vergyri, Elizabeth Shriberg, Vikramjit Mitra, Mitchell McLaren, Andreas Kathol, Colleen Richey, Martin Graciarena
  • Publication number: 20180214061
    Abstract: A computer-implemented method can include a speech collection module collecting a speech pattern from a patient, a speech feature computation module computing at least one speech feature from the collected speech pattern, a mental health determination module determining a state-of-mind of the patient based at least in part on the at least one computed speech feature, and an output module providing an indication of a diagnosis with regard to a possibility that the patient is suffering from a certain condition such as depression or Post-Traumatic Stress Disorder (PTSD).
    Type: Application
    Filed: August 5, 2015
    Publication date: August 2, 2018
    Inventors: Bruce Knoth, Dimitra Vergyri, Elizabeth Shriberg, Vikramjit Mitra, Mitchell McLaren, Andreas Kathol, Colleen Richey, Martin Graciarena
  • Patent number: 9928832
    Abstract: A method for classifying lexical stress in an utterance includes generating a feature vector representing stress characteristics of a syllable occurring in the utterance, wherein the feature vector includes a plurality of features based on prosodic information and spectral information, computing a plurality of scores, wherein each of the plurality of scores is related to a probability of a given class of lexical stress, and classifying the lexical stress of the syllable based on the plurality of scores.
    Type: Grant
    Filed: June 30, 2014
    Date of Patent: March 27, 2018
    Assignee: SRI INTERNATIONAL
    Inventors: Horacio E. Franco, Luciana Ferrer, Harry Bratt, Colleen Richey, Kristin Precoda, Victor Abrash
  • Patent number: 9875445
    Abstract: Technologies for analyzing temporal components of multimodal data to detect short-term multimodal events, determine relationships between short-term multimodal events, and recognize long-term multimodal events, using a deep learning architecture, are disclosed.
    Type: Grant
    Filed: February 25, 2015
    Date of Patent: January 23, 2018
    Assignee: SRI International
    Inventors: Mohamed R. Amer, Behjat Siddiquie, Ajay Divakaran, Colleen Richey, Saad Khan, Hapreet S. Sawhney, Timothy J. Shields
  • Publication number: 20160071024
    Abstract: Technologies for analyzing temporal components of multimodal data to detect short-term multimodal events, determine relationships between short-term multimodal events, and recognize long-term multimodal events, using a deep learning architecture, are disclosed.
    Type: Application
    Filed: February 25, 2015
    Publication date: March 10, 2016
    Inventors: Mohamed R. Amer, Behjat Siddiquie, Ajay Divakaran, Colleen Richey, Saad Khan, Harpreet S. Sawhney
  • Publication number: 20150170644
    Abstract: A method for classifying lexical stress in an utterance includes generating a feature vector representing stress characteristics of a syllable occurring in the utterance, wherein the feature vector includes a plurality of features based on prosodic information and spectral information, computing a plurality of scores, wherein each of the plurality of scores is related to a probability of a given class of lexical stress, and classifying the lexical stress of the syllable based on the plurality of scores.
    Type: Application
    Filed: June 30, 2014
    Publication date: June 18, 2015
    Inventors: Horacio E. Franco, Luciana Ferrer, Harry Bratt, Colleen Richey, Kristin Precoda, Victor Abrash