{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T05:41:20Z","timestamp":1698298880711},"reference-count":7,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2007,3,21]],"date-time":"2007-03-21T00:00:00Z","timestamp":1174435200000},"content-version":"vor","delay-in-days":5192,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems &amp;amp; Computers in Japan"],"published-print":{"date-parts":[[1993,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>This paper presents a speech synthesis system using the neural network. While there have been a large number of speech synthesis systems developed, most of them are rule\u2010based systems for a restricted range of languages, describing the expert knowledges for the language in the form of rules. Thus problems arise in that a large amount of effort is required in developing the system, and the extension of other languages is not easy.<\/jats:p><jats:p>In the area of natural language processing, on the other hand, there are practical applications of machine translation, and it is desired that speech synthesis systems for various languages be developed in the future. From such a viewpoint, the authors developed the English speech synthesis system, aiming at the easy extension to multiple languages without requiring expert knowledge.<\/jats:p><jats:p>In this paper, the neural networks is applied to the part\u2010of\u2010speech detection function, the syntactic boundary detection function and the letter\u2010to\u2010phoneme conversion function, all of which have stronger language dependencies among the components of the speech synthesis system.<\/jats:p>","DOI":"10.1002\/scj.4690240807","type":"journal-article","created":{"date-parts":[[2007,7,8]],"date-time":"2007-07-08T01:33:34Z","timestamp":1183858414000},"page":"71-81","source":"Crossref","is-referenced-by-count":1,"title":["Syntactic analysis and letter\u2010to\u2010phoneme conversion using neural networks \u2014 an application of neural networks to an english text\u2010to\u2010speech system"],"prefix":"10.1002","volume":"24","author":[{"given":"Yukiko","family":"Yamaguchi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tatsuro","family":"Matsumoto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2007,3,21]]},"reference":[{"key":"e_1_2_1_2_2","doi-asserted-by":"publisher","DOI":"10.1121\/1.395275"},{"key":"e_1_2_1_3_2","doi-asserted-by":"crossref","unstructured":"K. W.Church.A Stochastic Parts Program and Noun Phrase Parser for Unrestricted Text. ACL Proceedings 2nd Applied Natural Language Processing (1988).","DOI":"10.3115\/974235.974260"},{"issue":"9","key":"e_1_2_1_4_2","article-title":"Learning representations by back\u2010propagating errors","volume":"323","author":"Rumelhart D. E.","year":"1986","journal-title":"Nature"},{"key":"e_1_2_1_5_2","first-page":"83","volume-title":"Synthesis of fundamental frequency pattern of Japanese sentence speech using word integration structure","author":"Hirose K.","year":"1984"},{"key":"e_1_2_1_6_2","volume-title":"From text to speech: The MITalk system. Cambridge Studies in Speech Science and Communication","author":"Allen J.","year":"1987"},{"key":"e_1_2_1_7_2","unstructured":"T. J.Sejnowski.NETalk: A Parallel Network that Learns to Read Aloud. Technical Report JHU\/EECS\u201086\/01 (1986)."},{"issue":"7","key":"e_1_2_1_8_2","first-page":"945","article-title":"Generation of speech pattern learning using multilayer multistage neural network","volume":"73","author":"Komura M.","year":"1990","journal-title":"Trans. (D\u2010II) I.E.I.C.E., Japan"}],"container-title":["Systems and Computers in Japan"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fscj.4690240807","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/scj.4690240807","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,25]],"date-time":"2023-10-25T04:56:12Z","timestamp":1698209772000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/scj.4690240807"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1993,1]]},"references-count":7,"journal-issue":{"issue":"8","published-print":{"date-parts":[[1993,1]]}},"alternative-id":["10.1002\/scj.4690240807"],"URL":"https:\/\/doi.org\/10.1002\/scj.4690240807","archive":["Portico"],"relation":{},"ISSN":["0882-1666","1520-684X"],"issn-type":[{"value":"0882-1666","type":"print"},{"value":"1520-684X","type":"electronic"}],"subject":[],"published":{"date-parts":[[1993,1]]}}}