HIDDEN MARKOV MODELS BASED INDONESIAN VISEME MODEL FOR NATURAL SPEECH WITH AFFECTION

In a communication using texts input, viseme (visual phonemes) is derived from a group of phonemes having similar visual appearances. Hidden Markov model (HMM) has been a popular mathematical approach for sequence classification such as speech recognition. For speech emotion recognition, a HMM is tr...

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Bibliographic Details
Main Authors: Endang Setyati, Mauridhi Hery Purnomo, Surya Sumpeno, Joan Santoso
Format: Article
Language:English
Published: Informatics Department, Engineering Faculty 2016-07-01
Series:Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi
Online Access:https://kursorjournal.org/index.php/kursor/article/view/61