{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,27]],"date-time":"2023-10-27T05:40:31Z","timestamp":1698385231875},"reference-count":14,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2007,3,21]],"date-time":"2007-03-21T00:00:00Z","timestamp":1174435200000},"content-version":"vor","delay-in-days":4462,"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":[[1995,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The continuous speech frequently includes intervals where the utterer is \u201clazy\u201d and does not exhibit a precise pronunciation. Sometimes the accurate recognition of auxiliaries, which are grammatically important, is prevented. Consequently, to recognize the continuous speech, it is necessary to make use of more intuitive information, i.e., the associative information as the human does, in addition to linguistic information such as syntax and semantics.<\/jats:p><jats:p>First, this paper shows that the continuous speech contains ambiguously uttered intervals, for which the acoustic processing is difficult. Next, the human associations among the words are examined and investigated, aiming at the construction of the associative word dictionary to be utilized in the speech recognition. Using such an associative word dictionary, the association strength between words is determined, and the succeeding word is predicted. The associative information, not only the acoustic information, also is included in the recognition of the phrase.<\/jats:p><jats:p>In the previous speech recognition system by the authors, the phoneme recognition rate of approximately 90 percent is required in order to achieve the sentence recognition rate of 75 percent, if the associative information is not utilized. The phoneme recognition rate of approximately 80 percent is sufficient to achieve the sentence recognition rate of 75 percent by utilizing the associative information. It is seen also in the system constructed by the authors that the acoustic information and the associative information should be utilized by the ratio of approximately 3:1, for scoring the information.<\/jats:p>","DOI":"10.1002\/scj.4690261210","type":"journal-article","created":{"date-parts":[[2007,7,8]],"date-time":"2007-07-08T03:55:54Z","timestamp":1183866954000},"page":"96-106","source":"Crossref","is-referenced-by-count":0,"title":["Use of associative information to continuous speech recognition"],"prefix":"10.1002","volume":"26","author":[{"given":"Yoshihiro","family":"Sekiguchi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minoru","family":"Shigenaga","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","first-page":"26","volume-title":"Continuous speech recognition using hidden Markov models","author":"Picone J.","year":"1990"},{"issue":"6","key":"e_1_2_1_3_2","first-page":"782","article-title":"On syntactic information in a speech recognition system for Japanese sentence","volume":"65","author":"Sekiguchi Y.","year":"1982","journal-title":"Trans. (D) I.E.I.C.E., Japan"},{"issue":"6","key":"e_1_2_1_4_2","first-page":"629","article-title":"On semantic information in a speech recognition system for Japanese sentence","volume":"66","author":"Sekiguchi Y.","year":"1983","journal-title":"Trans. (D) I.E.I.C.E., Japan"},{"issue":"10","key":"e_1_2_1_5_2","first-page":"826","article-title":"Recognition of Japanese speech sentence based on phrase\u2010spotting","volume":"108","author":"Okada M.","year":"1988","journal-title":"Trans. (C) I.E.E., Japan"},{"issue":"11","key":"e_1_2_1_6_2","first-page":"1280","article-title":"Recognition of speech sentence based on phoneme recognition and modification relation analysis","volume":"41","author":"Matsunaga S.","year":"1992","journal-title":"NTTR&D"},{"key":"e_1_2_1_7_2","unstructured":"R.Isoya S.MatsunagaandS.Sagayama.Speech recognition using local and global N\u2010grams.Proc. Acoust. 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Japan SP89\u201073 (Nov.1989)."},{"issue":"7","key":"e_1_2_1_12_2","first-page":"1817","article-title":"A large vocabulary continuous speech recognition system with high predictability","volume":"74","author":"Shigenaga M.","year":"1991","journal-title":"I.E.I.C.E., Trans."},{"issue":"10","key":"e_1_2_1_13_2","first-page":"1609","article-title":"Detection of phrase boundaries using prosodies for continuous speech recognition","volume":"72","author":"Suzuki Y.","year":"1989","journal-title":"Trans. (D\u2010II) I.E.I.C.E., Japan"},{"key":"e_1_2_1_14_2","unstructured":"T.Yamaguchi M.Kawasaki R.Masuda Y.SekiguchiandM.Shigenaga.Use of associated words in a speech recognition system with large vocabulary.Tech. Rep. I.E.I.C.E. Japan SP90\u201076 (Dec.1992)."},{"issue":"8","key":"e_1_2_1_15_2","first-page":"1307","article-title":"On prediction possibility of predicates and noun phrases for continuous speech recognition","volume":"72","author":"Shigenaga M.","year":"1989","journal-title":"Trans. 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