US 9,812,154 B2
Method and system for detecting sentiment by analyzing human speech
Prathosh Aragulla Prasad, Mysore (IN); and Vivek Tyagi, New Delhi (IN)
Assigned to Conduent Business Services, LLC, Dallas, TX (US)
Filed by Conduent Business Services, LLC, Dallas, TX (US)
Filed on Jan. 19, 2016, as Appl. No. 15/68.
Prior Publication US 2017/0206915 A1, Jul. 20, 2017
Int. Cl. G10L 15/00 (2013.01); G10L 25/63 (2013.01); G10L 15/16 (2006.01); G10L 15/02 (2006.01); G10L 15/18 (2013.01); G10L 25/30 (2013.01); G10L 25/45 (2013.01)
CPC G10L 25/63 (2013.01) [G10L 15/02 (2013.01); G10L 15/16 (2013.01); G10L 15/1807 (2013.01); G10L 25/30 (2013.01); G10L 25/45 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for detecting sentiment of a human based on an analysis of human speech, the method comprising;
determining, by one or more processors, one or more time instances of glottal closure from a speech signal of the human;
generating, by the one or more processors, a voice source signal based on the determined one or more time instances of glottal closure;
determining, by the one or more processor, a set of relative harmonic strengths based on one or more harmonic contours of the voice source signal, wherein a relative harmonic strength (RHS) is indicative of a deviation of one or more harmonics of the voice source signal from a fundamental frequency of the voice source signal; and
determining, by the one or more processors, a set of feature vectors based on the set of relative harmonic strengths, wherein the set of feature vectors is utilizable to detect the sentiment of the human.