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Classification of Emotional Speech in Anime Films by Using Automatic Temporal Segmentation

Authors:
Yutaro Hara
Katsunobu Itou

Keywords: Emotion, animated film, Speech analysis, Pattern classification

Abstract:
This paper describes emotional speech classification in anime films. An emotional speech corpus was constructed by using data collected over 8 h. The corpus consists of emotional speech material of a total of 984 utterances. Five emotions, namely, joy, surprise, anger, sadness, and the neutral case, were labeled and divided into training and test data. In a previous study, Attack and Keep and Decay were adopted as parameters to describe temporal characteristic of the power transition. This paper proposed an improved method of A-K-D unit, and evaluated it. As a result, acoustic features of the proposed method were more effective than the conventional method when we used for GMM.

Pages: 51 to 56

Copyright: Copyright (c) IARIA, 2010

Publication date: November 21, 2010

Published in: conference

ISSN: 2308-4162

ISBN: 978-1-61208-110-6

Location: Lisbon, Portugal

Dates: from November 21, 2010 to November 26, 2010