research-article

Implementation of Voice Emotion Recognition for Interaction with Mobile Agent

Authors:

Jeong-Sik Park,

Gil-Jin JangAuthors Info & Claims

HAI '15: Proceedings of the 3rd International Conference on Human-Agent Interaction

Pages 307 - 308

https://doi.org/10.1145/2814940.2815004

Published: 21 October 2015 Publication History

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Abstract

This paper introduces a voice emotion recognition framework to operate on mobile devices. The fundamental framework consists of detection of human voice, extraction of emotional features, and identification of an emotional state. We implemented a simple smartphone interface to verify the performance of the voice emotion recognition system operating on mobile device.

References

[1]

Park, J. S., Kim, J. H., and Oh, Y. H. Feature vector classification based speech emotion recognition for service robots. IEEE Transactions on Consumer Electronics, 3 (55), 1590--1596.

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[2]

Huang, R. and Ma, C. Toward a speaker-independent real time affect detection system. In Proc. ICPR 2006, (2006), 1204--1207.

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Implementation of Voice Emotion Recognition for Interaction with Mobile Agent
1. Applied computing
  1. Arts and humanities
    1. Sound and music computing

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Published In

HAI '15: Proceedings of the 3rd International Conference on Human-Agent Interaction

October 2015

254 pages

ISBN:9781450335270

DOI:10.1145/2814940

General Chairs:
Minho Lee
Kyungpook National University, Korea
,
Takashi Omori
Tamagawa University, Japan
,
Program Chairs:
Hirotaka Osawa
University of Tsukuba, Japan
,
Hyeyoung Park
Kyungpook National University, Korea
,
James Young
University of Manitoba, Canada

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

In-Cooperation

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 October 2015

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Funding Sources

National Research Foundation of Korea

Conference

HAI 2015

Sponsor:

BESK

HAI 2015: The Third International Conference on Human-Agent Interaction

October 21 - 24, 2015

Kyungpook, Daegu, Republic of Korea

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Overall Acceptance Rate 121 of 404 submissions, 30%

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Evaluating the Effect of Imperfect Data in Voice Emotion Recognition

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