@inproceedings{e14425dd91034430903151ef1f067cb7,
title = "Establishment of Indonesian viseme sequences using hidden markov model based on affection",
abstract = "Every language has different characteristics, one of which is how to pronounce the language. Pronunciation accompanied by emotional expression are increasingly making different characteristics. This research proposes the establishment of natural Indonesian viseme order influenced by the expression of emotion. This system converts the text input of an Indonesian sentence into a sequence Indonesian viseme to be influenced by the affection. Animation of mouth shape and lip movements are made to complement the visualization of natural speech, which is resulted from the establishment Indonesian viseme model. The method used in the natural Indonesian viseme sequence, is using statistical approach through Viterbi algorithm Hidden Markov Model.",
keywords = "Affection, Hidden markov model, Indonesian viseme, Mouth shape, Viterbi algorithm",
author = "Endang Setyati and Oki Susandono and Lukman Zaman and Pranoto, {Yuliana Melita} and Surya Sumpeno and Purnomo, {Mauridhi Hery}",
note = "Publisher Copyright: {\textcopyright}/2017/IEEE.; 18th International Seminar on Intelligent Technology and Its Application, ISITIA 2017 ; Conference date: 28-08-2017 Through 29-08-2017",
year = "2017",
month = nov,
day = "28",
doi = "10.1109/ISITIA.2017.8124094",
language = "English",
series = "2017 International Seminar on Intelligent Technology and Its Application: Strengthening the Link Between University Research and Industry to Support ASEAN Energy Sector, ISITIA 2017 - Proceeding",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "275--280",
booktitle = "2017 International Seminar on Intelligent Technology and Its Application",
address = "United States",
}