Method and apparatus for predicting word prominence in speech synthesis
A method and apparatus is provided for generating speech that sounds more natural. Determining whether information in a current sentence is new or previously given is performed based on a semantic relationship between the current sentence and a number of preceding sentences. A word prominence for th...
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creator | Bellegarda, Jerome R Silverman, Kim E. A |
description | A method and apparatus is provided for generating speech that sounds more natural. Determining whether information in a current sentence is new or previously given is performed based on a semantic relationship between the current sentence and a number of preceding sentences. A word prominence for the synthetic speech to a word in the current sentence is assigned in accordance with the information determination. A speech representative of the current sentence can be generated. In one embodiment, word prominence and latent semantic analysis are used to generate more natural sounding speech. A method for generating speech that sounds more natural may comprise generating synthesized speech having certain word prominence characteristics and applying a semantically-driven word prominence assignment model to specify word prominence consistent with the way humans assign word prominence. |
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Determining whether information in a current sentence is new or previously given is performed based on a semantic relationship between the current sentence and a number of preceding sentences. A word prominence for the synthetic speech to a word in the current sentence is assigned in accordance with the information determination. A speech representative of the current sentence can be generated. In one embodiment, word prominence and latent semantic analysis are used to generate more natural sounding speech. A method for generating speech that sounds more natural may comprise generating synthesized speech having certain word prominence characteristics and applying a semantically-driven word prominence assignment model to specify word prominence consistent with the way humans assign word prominence.</description><language>eng</language><creationdate>2010</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/7778819$$EPDF$$P50$$Guspatents$$Hfree_for_read</linktopdf><link.rule.ids>230,308,780,802,885,64037</link.rule.ids><linktorsrc>$$Uhttps://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/7778819$$EView_record_in_USPTO$$FView_record_in_$$GUSPTO$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Bellegarda, Jerome R</creatorcontrib><creatorcontrib>Silverman, Kim E. A</creatorcontrib><creatorcontrib>Apple Inc</creatorcontrib><title>Method and apparatus for predicting word prominence in speech synthesis</title><description>A method and apparatus is provided for generating speech that sounds more natural. Determining whether information in a current sentence is new or previously given is performed based on a semantic relationship between the current sentence and a number of preceding sentences. A word prominence for the synthetic speech to a word in the current sentence is assigned in accordance with the information determination. A speech representative of the current sentence can be generated. In one embodiment, word prominence and latent semantic analysis are used to generate more natural sounding speech. A method for generating speech that sounds more natural may comprise generating synthesized speech having certain word prominence characteristics and applying a semantically-driven word prominence assignment model to specify word prominence consistent with the way humans assign word prominence.</description><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2010</creationdate><recordtype>patent</recordtype><sourceid>EFH</sourceid><recordid>eNqNijsKAkEMQKexEPUOuYCgWMxai5_Gzl7CTHZnQDMhySLe3hU8gMXj8eDNw_lKXloG5AkRVPTRoG8KopRr8soDvJrmqduzMnEiqAwmRKmAvdkLWbVlmPX4MFr9vAhwOt4Ol_Vogk7sdh8Uv9rEGLtuu9_9sXwAUzY1VA</recordid><startdate>20100817</startdate><enddate>20100817</enddate><creator>Bellegarda, Jerome R</creator><creator>Silverman, Kim E. A</creator><scope>EFH</scope></search><sort><creationdate>20100817</creationdate><title>Method and apparatus for predicting word prominence in speech synthesis</title><author>Bellegarda, Jerome R ; Silverman, Kim E. A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-uspatents_grants_077788193</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2010</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Bellegarda, Jerome R</creatorcontrib><creatorcontrib>Silverman, Kim E. A</creatorcontrib><creatorcontrib>Apple Inc</creatorcontrib><collection>USPTO Issued Patents</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Bellegarda, Jerome R</au><au>Silverman, Kim E. A</au><aucorp>Apple Inc</aucorp><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method and apparatus for predicting word prominence in speech synthesis</title><date>2010-08-17</date><risdate>2010</risdate><abstract>A method and apparatus is provided for generating speech that sounds more natural. Determining whether information in a current sentence is new or previously given is performed based on a semantic relationship between the current sentence and a number of preceding sentences. A word prominence for the synthetic speech to a word in the current sentence is assigned in accordance with the information determination. A speech representative of the current sentence can be generated. In one embodiment, word prominence and latent semantic analysis are used to generate more natural sounding speech. A method for generating speech that sounds more natural may comprise generating synthesized speech having certain word prominence characteristics and applying a semantically-driven word prominence assignment model to specify word prominence consistent with the way humans assign word prominence.</abstract><oa>free_for_read</oa></addata></record> |
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title | Method and apparatus for predicting word prominence in speech synthesis |
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