The RACAI speech translation system challenges of morphologically rich languages
Recent advances in Multilingual Machine Translation and in Speech Processing, coupled with the unprecedented computing power increase of mobile devices, served by faster communication means, made possible the implementation of operational Speech to Speech (S2S) translation systems on smart phones an...
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| creator | Tufis, Dan Boros, Tiberiu Dumitrescu, Stefan Daniel |
| description | Recent advances in Multilingual Machine Translation and in Speech Processing, coupled with the unprecedented computing power increase of mobile devices, served by faster communication means, made possible the implementation of operational Speech to Speech (S2S) translation systems on smart phones and tablets. Through S2S, a text spoken in one language is automatically recognized, translated and synthesized in another language. This article presents an overview of the first version of our Android-based Romanian-English bi-directional speech translation system and covers the methods and technologies used for implementing it. To the best of our knowledge, this is the first bidirectional S2S for Romanian-English implemented on mobile devices. |
| doi_str_mv | 10.1109/SpeD.2013.6682657 |
| format | Conference Proceeding |
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Through S2S, a text spoken in one language is automatically recognized, translated and synthesized in another language. This article presents an overview of the first version of our Android-based Romanian-English bi-directional speech translation system and covers the methods and technologies used for implementing it. 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Through S2S, a text spoken in one language is automatically recognized, translated and synthesized in another language. This article presents an overview of the first version of our Android-based Romanian-English bi-directional speech translation system and covers the methods and technologies used for implementing it. To the best of our knowledge, this is the first bidirectional S2S for Romanian-English implemented on mobile devices.</description><subject>Accuracy</subject><subject>automatic speech recognition</subject><subject>machine translation</subject><subject>Natural language processing</subject><subject>Speech</subject><subject>Speech processing</subject><subject>Speech recognition</subject><subject>speech synthesis</subject><subject>speech to speech translation</subject><subject>Tagging</subject><subject>Training</subject><isbn>1479910651</isbn><isbn>9781479910656</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8tKxDAYheNCUMd5AHGTF2jNpe2fLEu9DQwoOq6HJPOnraQXmrro21uYWR04fOeDQ8gDZynnTD99j_icCsZlWhRKFDlckTuegdacFTm_IdsYfxljHCCXWt-Sz0OD9Kusyh2NI6Jr6DyZPgYzt0NP4xJn7KhrTAjY1xjp4Gk3TGMzhKFu3VovdGrXVTB9_WdW4p5cexMibi-5IT-vL4fqPdl_vO2qcp-0HPI5EaeMoQFXcCFQolfWaiZzCwadETLLvNVeKbAeC-6NBgvKOMiUAw7oTnJDHs_eFhGP49R2ZlqOl9PyH-UNTwg</recordid><startdate>201310</startdate><enddate>201310</enddate><creator>Tufis, Dan</creator><creator>Boros, Tiberiu</creator><creator>Dumitrescu, Stefan Daniel</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201310</creationdate><title>The RACAI speech translation system challenges of morphologically rich languages</title><author>Tufis, Dan ; Boros, Tiberiu ; Dumitrescu, Stefan Daniel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-2d40ea7c6122e3ef8bb9035b7aeca2344fb9f887bfe61fa97b78ac748c717ecd3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Accuracy</topic><topic>automatic speech recognition</topic><topic>machine translation</topic><topic>Natural language processing</topic><topic>Speech</topic><topic>Speech processing</topic><topic>Speech recognition</topic><topic>speech synthesis</topic><topic>speech to speech translation</topic><topic>Tagging</topic><topic>Training</topic><toplevel>online_resources</toplevel><creatorcontrib>Tufis, Dan</creatorcontrib><creatorcontrib>Boros, Tiberiu</creatorcontrib><creatorcontrib>Dumitrescu, Stefan Daniel</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 Electronic Library (IEL)</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>Tufis, Dan</au><au>Boros, Tiberiu</au><au>Dumitrescu, Stefan Daniel</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The RACAI speech translation system challenges of morphologically rich languages</atitle><btitle>2013 7th Conference on Speech Technology and Human - Computer Dialogue (SpeD)</btitle><stitle>SpeD</stitle><date>2013-10</date><risdate>2013</risdate><spage>1</spage><epage>10</epage><pages>1-10</pages><eisbn>1479910651</eisbn><eisbn>9781479910656</eisbn><abstract>Recent advances in Multilingual Machine Translation and in Speech Processing, coupled with the unprecedented computing power increase of mobile devices, served by faster communication means, made possible the implementation of operational Speech to Speech (S2S) translation systems on smart phones and tablets. Through S2S, a text spoken in one language is automatically recognized, translated and synthesized in another language. This article presents an overview of the first version of our Android-based Romanian-English bi-directional speech translation system and covers the methods and technologies used for implementing it. To the best of our knowledge, this is the first bidirectional S2S for Romanian-English implemented on mobile devices.</abstract><pub>IEEE</pub><doi>10.1109/SpeD.2013.6682657</doi><tpages>10</tpages></addata></record> |
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| ispartof | 2013 7th Conference on Speech Technology and Human - Computer Dialogue (SpeD), 2013, p.1-10 |
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| language | eng |
| recordid | cdi_ieee_primary_6682657 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Accuracy automatic speech recognition machine translation Natural language processing Speech Speech processing Speech recognition speech synthesis speech to speech translation Tagging Training |
| title | The RACAI speech translation system challenges of morphologically rich languages |
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