The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 28, 2024

Filed:

Oct. 19, 2021
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Inventors:

Ramesh Kumar Ramakrishnan, Bangalore, IN;

Venkata Subramanian Viraraghavan, Bangalore, IN;

Rahul Dasharath Gavas, Bangalore, IN;

Sachin Patel, Pune, IN;

Gauri Deshpande, Pune, IN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G10L 25/63 (2013.01); G06N 20/00 (2019.01); G10L 15/04 (2013.01); G10L 25/27 (2013.01);
U.S. Cl.
CPC ...
G10L 25/63 (2013.01); G06N 20/00 (2019.01); G10L 15/04 (2013.01); G10L 25/27 (2013.01);
Abstract

An important task in several wellness applications is detection of emotional valence from speech. Two types of features of speech signals are used to detect valence: acoustic features and text features. Acoustic features are derived from short frames of speech, while text features are derived from the text transcription. Present disclosure provides systems and methods that determine the effect of text on acoustic features. Acoustic features of speech segments carrying emotion words are to be treated differently from other segments that do not carry such words. Only specific speech segments of the input speech signal are considered based on a dictionary specific to a language to assess emotional valence. A model trained (or trained classifier) for specific language either by including the acoustic features of the emotion related words or by omitting it is used by the system for determining emotional valence in an input speech signal.


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