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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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Iliev, A. and Stanchev, P. (2018). Glottal Attributes Extracted from Speech with Application to Emotion Driven Smart Systems. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KDIR; ISBN 978-989-758-330-8; ISSN 2184-3228, SciTePress, pages 297-302. DOI: 10.5220/0006951002970302

@conference{kdir18,
author={Alexander Iliev. and Peter L. Stanchev.},
title={Glottal Attributes Extracted from Speech with Application to Emotion Driven Smart Systems},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KDIR},
year={2018},
pages={297-302},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006951002970302},
isbn={978-989-758-330-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KDIR
TI - Glottal Attributes Extracted from Speech with Application to Emotion Driven Smart Systems
SN - 978-989-758-330-8
IS - 2184-3228
AU - Iliev, A.
AU - Stanchev, P.
PY - 2018
SP - 297
EP - 302
DO - 10.5220/0006951002970302
PB - SciTePress