公开(公告)号：US10127929B2

公开(公告)日：2018-11-13

申请号：US15257628

申请日：2016-09-06

Applicant: Massachusetts Institute of Technology

Inventor： Thomas Francis Quatieri, Jr. ,  Gregory Alan Ciccarelli ,  Satrajit S. Ghosh ,  Christopher J. Smalt ,  James R. Williamson ,  Jeffrey Shane Palmer

IPC: G10L25/66 ,  G10L25/27

Abstract: In a system and method for assessing the condition of a subject, control parameters are derived from a neurophysiological computational model that operates on features extracted from a speech signal. The control parameters are used as biomarkers (indicators) of the subject's condition. Speech related features are compared with model predicted speech features, and the error signal is used to update control parameters within the neurophysiological computational model. The updated control parameters are processed in a comparison with parameters associated with the disorder in a library.

公开(公告)号：US20170053665A1

公开(公告)日：2017-02-23

申请号：US15257628

申请日：2016-09-06

Applicant: Massachusetts Institute of Technology

Inventor： Thomas Francis Quatieri, JR. ,  Gregory Alan Ciccarelli ,  Satrajit S. Ghosh ,  Christopher J. Smalt ,  James R. Williamson ,  Jeffrey Shane Palmer

IPC: G10L25/66 ,  G10L15/06 ,  G10L25/63 ,  G10L15/02

CPC classification number: G10L25/66 ,  G10L25/27

Abstract: In a system and method for assessing the condition of a subject, control parameters are derived from a neurophysiological computational model that operates on features extracted from a speech signal. The control parameters are used as biomarkers (indicators) of the subject's condition. Speech related features are compared with model predicted speech features, and the error signal is used to update control parameters within the neurophysiological computational model. The updated control parameters are processed in a comparison with parameters associated with the disorder in a library.

Abstract translation: 在用于评估受试者状况的系统和方法中，控制参数是从对从语音信号中提取的特征进行操作的神经生理计算模型导出的。 控制参数用作受试者状况的生物标志物（指标）。 语音相关特征与模型预测语音特征进行比较，误差信号用于更新神经生理计算模型中的控制参数。 更新的控制参数与与库中的紊乱相关联的参数进行比较处理。

公开(公告)号：US10561361B2

公开(公告)日：2020-02-18

申请号：US14518490

申请日：2014-10-20

Applicant: Massachusetts Institute of Technology

Inventor： Thomas F. Quatieri ,  James R. Williamson ,  Brian Helfer ,  Rachelle Laura Horwitz-Martin ,  Bea Yu ,  Daryush Dinyar Mehta

IPC: A61B5/00 ,  A61B5/16 ,  A61B5/11

Abstract: A method and a system for assessing a condition in a subject. An example of a condition is a Major Depressive Disorder (MDD). The method comprises measuring at least one speech-related variable in a subject; extracting a channel-delay correlation structure of the at least one speech-related variable; and generating an assessment of a condition of the subject, based on the correlation structure of the at least one speech-related variable.

公开(公告)号：US20150112232A1

公开(公告)日：2015-04-23

申请号：US14518490

申请日：2014-10-20

Applicant: Massachusetts Institute of Technology

Inventor： Thomas F. Quatieri ,  James R. Williamson ,  Brian Helfer ,  Rachelle Laura Horwitz-Martin ,  Bea Yu ,  Daryush Dinyar Mehta

IPC: A61B5/00 ,  A61B5/16 ,  A61B5/11

CPC classification number: A61B5/4803 ,  A61B5/11 ,  A61B5/165 ,  A61B5/4064 ,  A61B5/4082 ,  A61B5/4088 ,  A61B5/4815 ,  A61B5/7264 ,  A61B5/742

Abstract: A method and a system for assessing a condition in a subject. An example of a condition is a Major Depressive Disorder (MDD). The method comprises measuring at least one speech-related variable in a subject; extracting a channel-delay correlation structure of the at least one speech-related variable; and generating an assessment of a condition of the subject, based on the correlation structure of the at least one speech-related variable.

Abstract translation: 用于评估受试者的状况的方法和系统。 病情的一个例子是严重抑郁症（MDD）。 该方法包括测量受试者中的至少一个语音相关变量; 提取所述至少一个语音相关变量的信道延迟相关结构; 以及基于所述至少一个语音相关变量的相关结构来生成所述对象的状况的评估。