DocumentCode :
3246831
Title :
Smooth ergodic hidden Markov model and its applications in text to speech systems
Author :
Ghayoori, Armin ; Hendessi, Faramarz ; Sheikh, Asrar
Author_Institution :
Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Iran
fYear :
2004
fDate :
20-22 Oct. 2004
Firstpage :
234
Lastpage :
237
Abstract :
In text-to-speech systems, the accuracy of information extraction from text is crucial in producing high quality synthesized speech. In this paper, a new scheme for converting text into its equivalent phonetic spelling is proposed and developed. This method has many advantages over its predecessors and it can complement many other text to speech converting systems in order to get improved performance.
Keywords :
hidden Markov models; speech synthesis; TTS; phonetic spelling; smooth ergodic hidden Markov model; synthesized speech quality; text information extraction accuracy; text to speech converting systems; text to speech synthesis systems; Application software; Artificial neural networks; Hidden Markov models; Minerals; Petroleum; Power system modeling; Probability distribution; Speech analysis; Speech processing; Speech synthesis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Multimedia, Video and Speech Processing, 2004. Proceedings of 2004 International Symposium on
Print_ISBN :
0-7803-8687-6
Type :
conf
DOI :
10.1109/ISIMP.2004.1434043
Filename :
1434043
Link To Document :
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