A trainable Vietnamese speech synthesis system based on HMM
This paper describes an approach to the realization of a trainable speech synthesis system using a technique whereby speech is directly synthesized from Hidden Markov models (HMMs), and apply it to the Vietnamese synthesis system. A series of data should be prepared before the training and synthesis...
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creator | Linyu He Jian Yang Libo Zuo Liping Kui |
description | This paper describes an approach to the realization of a trainable speech synthesis system using a technique whereby speech is directly synthesized from Hidden Markov models (HMMs), and apply it to the Vietnamese synthesis system. A series of data should be prepared before the training and synthesis process, including the collection of data, recording, labelling, the design of contextual property and problem sets. The whole training and synthesis process is based on the HMM based Speech Synthesis System-2.0 (HTS-2.0) and it is automated. The final synthesis result shows that using this method to the Vietnamese synthesis system is feasible. |
doi_str_mv | 10.1109/ICEICE.2011.5777589 |
format | Conference Proceeding |
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A series of data should be prepared before the training and synthesis process, including the collection of data, recording, labelling, the design of contextual property and problem sets. The whole training and synthesis process is based on the HMM based Speech Synthesis System-2.0 (HTS-2.0) and it is automated. 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A series of data should be prepared before the training and synthesis process, including the collection of data, recording, labelling, the design of contextual property and problem sets. The whole training and synthesis process is based on the HMM based Speech Synthesis System-2.0 (HTS-2.0) and it is automated. The final synthesis result shows that using this method to the Vietnamese synthesis system is feasible.</description><subject>Hidden Markov models</subject><subject>Information processing</subject><subject>Phase change materials</subject><subject>Smoothing methods</subject><subject>Speech</subject><subject>Speech synthesis</subject><subject>Training</subject><subject>Vietnamese</subject><isbn>1424480361</isbn><isbn>9781424480364</isbn><isbn>1424480396</isbn><isbn>1424480388</isbn><isbn>9781424480395</isbn><isbn>9781424480388</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9jj0LwjAYhCMi-NVf0CV_wJr0I2lwklKpQzdxLam-0kgbS98s_fd2KLh5HNxz3HKE-JwFnDN1vGb55CBknAeJlDJJ1YJseRzGccoiJZa_IviaeIhvNkkIxSXbkNOZukEbq-sW6N2As7oDBIo9wKOhOFrXABqcCB10tNYIT_qxtCjLPVm9dIvgzbkj_iW_ZcXBAEDVD6bTw1jNp6L_6xdzfTlF</recordid><startdate>201104</startdate><enddate>201104</enddate><creator>Linyu He</creator><creator>Jian Yang</creator><creator>Libo Zuo</creator><creator>Liping Kui</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201104</creationdate><title>A trainable Vietnamese speech synthesis system based on HMM</title><author>Linyu He ; Jian Yang ; Libo Zuo ; Liping Kui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_57775893</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Hidden Markov models</topic><topic>Information processing</topic><topic>Phase change materials</topic><topic>Smoothing methods</topic><topic>Speech</topic><topic>Speech synthesis</topic><topic>Training</topic><topic>Vietnamese</topic><toplevel>online_resources</toplevel><creatorcontrib>Linyu He</creatorcontrib><creatorcontrib>Jian Yang</creatorcontrib><creatorcontrib>Libo Zuo</creatorcontrib><creatorcontrib>Liping Kui</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Linyu He</au><au>Jian Yang</au><au>Libo Zuo</au><au>Liping Kui</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A trainable Vietnamese speech synthesis system based on HMM</atitle><btitle>2011 International Conference on Electric Information and Control Engineering</btitle><stitle>ICEICE</stitle><date>2011-04</date><risdate>2011</risdate><spage>3910</spage><epage>3913</epage><pages>3910-3913</pages><isbn>1424480361</isbn><isbn>9781424480364</isbn><eisbn>1424480396</eisbn><eisbn>1424480388</eisbn><eisbn>9781424480395</eisbn><eisbn>9781424480388</eisbn><abstract>This paper describes an approach to the realization of a trainable speech synthesis system using a technique whereby speech is directly synthesized from Hidden Markov models (HMMs), and apply it to the Vietnamese synthesis system. A series of data should be prepared before the training and synthesis process, including the collection of data, recording, labelling, the design of contextual property and problem sets. The whole training and synthesis process is based on the HMM based Speech Synthesis System-2.0 (HTS-2.0) and it is automated. The final synthesis result shows that using this method to the Vietnamese synthesis system is feasible.</abstract><pub>IEEE</pub><doi>10.1109/ICEICE.2011.5777589</doi></addata></record> |
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ispartof | 2011 International Conference on Electric Information and Control Engineering, 2011, p.3910-3913 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Hidden Markov models Information processing Phase change materials Smoothing methods Speech Speech synthesis Training Vietnamese |
title | A trainable Vietnamese speech synthesis system based on HMM |
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