Art

J-GLOBAL ID：201802293664771319   Reference number：18A0118481

Analyzing the impact of including listener perception annotations in RNN-based emotional speech synthesis

RNNベース感情音声分析の視聴者知覚アノテーションの衝撃の分析

Author (5)： LORENZO-TRUEBA Jaime (National Inst. of Informatics, Tokyo, JPN) ,  HENTER Gustav Eje (National Inst. of Informatics, Tokyo, JPN) ,  TAKAKI Shinji (National Inst. of Informatics, Tokyo, JPN) ,  YAMAGISHI Junichi (National Inst. of Informatics, Tokyo, JPN) ,  YAMAGISHI Junichi (Univ. Edinburgh, Edinburgh, GBR)
Material： 電子情報通信学会技術研究報告  (IEICE Technical Report (Institute of Electronics, Information and Communication Engineers))
Volume： 117  Issue： 368(SP2017 55-65)  Page： 35-36  Publication year： Dec. 14, 2017 
JST Material Number： S0532B  ISSN： 0913-5685  Document type： Proceedings
Article type： 短報  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： neural network (biomodel) ,  recursion ,  feeling (psychology) ,  *speech analysis ,  audience ,  Perception ,  annotation ,  phonetic perception

JST classification (1)： Speach processing  (JE05000E)

Reference (3)：

• Fernandez, R., Rendel, A., Ramabhadran, B. and Hoory, R.: Prosody Contour Prediction with. Long Short-Term Memory, Bi-Directional, Deep Recurrent Neural Networks, Proceedings of Interspeech, pp. 2268-2272 (2014).
• Athanasopoulou, A. and Vogel, I.: Acquisition of prosody: The role of variability, Speech Prosody 2016, pp. 716-720 (2016).
• B?nziger, T., Patel, S. and Scherer, K. R.: The role of perceived voice and speech characteristics in vocal emotion communication, Journal of nonverbal behavior, Vol. 38, No. 1, pp. 31-52 (2014).

Terms in the title (8)： RNN ,  感情 ,  音声分析 ,  視聴者 ,  知覚 ,  アノテーション ,  衝撃 ,  分析