Title :
HMM-based Indonesian speech synthesis system with declarative and question sentences intonation
Author :
Elok Cahyaningtyas;Dhany Arifianto
Author_Institution :
Department of Engineering Physics, Institut Teknologi Sepuluh Nopember, Surabaya 60111 Indonesia
Abstract :
In this paper, we present a result of HMM-based speech synthesis system applied to Indonesian with prosody information in declarative and question sentences. The purpose is to observe the speech quality of synthesized speech from declarative to question sentences, conversely. Variation is given in kind of sentences and training data amount. We use 44, 72, 116, 450, 929 and 1379 training data. The result were evaluated by objective and subjective test. In objective test using MCD method earn the best score for question sentences with score 4.32 in 450 training data. Then for declarative sentences with score 5.13 in 929 training data. Subjective test with DMOS method obtain naturalness for declarative and question sentences with score 3.53 and 3.36 in 1379 training sentences respectively. The result shows that “degradation speech is slightly annoying”, it is possibly caused by poor F0 estimates.
Keywords :
"Speech","Hidden Markov models","Training data","Training","Speech synthesis","Degradation","Data models"
Conference_Titel :
Intelligent Signal Processing and Communication Systems (ISPACS), 2015 International Symposium on
DOI :
10.1109/ISPACS.2015.7432756