Authors:
Alexander Iliev
1
and
Peter L. Stanchev
2
Affiliations:
1
University of Wisconsin, Stevens Point, WI 54481, U.S.A., IMI – BAS, 8, Akad. G. Bonchev, Str. 1113, Sofia and Bulgaria
;
2
Kettering University, Flint, MI 48504, U.S.A., IMI – BAS, 8, Akad. G. Bonchev, Str. 1113, Sofia and Bulgaria
Keyword(s):
Smart Systems, Speech, Emotion Recognition, Pattern Classification, Sentiment Extraction.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Analytics
;
Data Analytics
;
Data Engineering
;
Information Extraction
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Symbolic Systems
Abstract:
Any novel smart system development depends on human-computer interaction and is also dependent either directly or indirectly on the emotion of the user. In this paper we propose an idea for the development of a smart system using sentiment extraction from speech with possible application in various areas in our everyday life. Two different speech corpora were used for cross-validation with training and testing on each set. The system is text, content and gender independent. Emotions were extracted from both female and male speakers. The system is robust to external noise and can be implemented in areas such as entertainment, personalization, system automation, service industries, security, surveillance, and many more.