Codebook Design for Speech Guided Car Infotainment Systems
Identifieur interne : 001240 ( Istex/Corpus ); précédent : 001239; suivant : 001241Codebook Design for Speech Guided Car Infotainment Systems
Auteurs : Martin Raab ; Rainer Gruhn ; Elmar NoethSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2008.
English descriptors
- Teeft :
- Additional gaussians, Additional language, Additional languages, Algorithm, Baseline, City names, Codebook, Codebook design, Codebooks, Database, English codebook, Experimental setup, Foreign names, Future work, Gaussians, German codebook, Gruhn, Hiwire, Hiwire data, Hiwire database, Human input, Infotainment, Infotainment scenario, Infotainment systems, Initial codebooks, Main language, Main language codebook, Main language performance, Maximum accuracy, Multilingual, Multilingual input, Multilingual recognition, Multilingual speech recognition, Multiple languages, Music titles, Mwcs, Native english codebook, Native speech, Nearest neighbor connections, Nonnative speech, Other words, Quantization, Raab, Results show, Same time, Sound patterns, Speech recognition, Speech recognizers, Such collections, Such systems, Training samples, Vector quantization, Word accuracies.
Abstract
Abstract: In car infotainment systems commands and other words in the user’s main language must be recognized with maximum accuracy, but it should be possible to use foreign names as they frequently occur in music titles or city names. Previous approaches did not address the constraint of conserving the main language performance when they extended their systems to cover multilingual input. In this paper we present an approach for speech recognition of multiple languages with constrained resources on embedded devices. Speech recognizers on such systems are typically to-date semi-continuous speech recognizers, which are based on vector quantization. We provide evidence that common vector quantization algorithms are not optimal for such systems when they have to cope with input from multiple languages. Our new method combines information from multiple languages and creates a new codebook that can be used for efficient vector quantization in multilingual scenarios. Experiments show significant improved speech recognition results.
Url:
DOI: 10.1007/978-3-540-69369-7_6
Links to Exploration step
ISTEX:B0900FEE6C7C3D6AD35E4498DC98E585F9B042DCLe document en format XML
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Previous approaches did not address the constraint of conserving the main language performance when they extended their systems to cover multilingual input. In this paper we present an approach for speech recognition of multiple languages with constrained resources on embedded devices. Speech recognizers on such systems are typically to-date semi-continuous speech recognizers, which are based on vector quantization. We provide evidence that common vector quantization algorithms are not optimal for such systems when they have to cope with input from multiple languages. Our new method combines information from multiple languages and creates a new codebook that can be used for efficient vector quantization in multilingual scenarios. 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Previous approaches did not address the constraint of conserving the main language performance when they extended their systems to cover multilingual input. In this paper we present an approach for speech recognition of multiple languages with constrained resources on embedded devices. Speech recognizers on such systems are typically to-date semi-continuous speech recognizers, which are based on vector quantization. We provide evidence that common vector quantization algorithms are not optimal for such systems when they have to cope with input from multiple languages. Our new method combines information from multiple languages and creates a new codebook that can be used for efficient vector quantization in multilingual scenarios. 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Robotics)</BookSubject><BookSubject Code="I21041" Priority="2" Type="Secondary">Language Translation and Linguistics</BookSubject><BookSubject Code="I18067" Priority="3" Type="Secondary">User Interfaces and Human Computer Interaction</BookSubject><BookSubject Code="I24040" Priority="4" Type="Secondary">Computers and Society</BookSubject><BookSubject Code="I22021" Priority="5" Type="Secondary">Image Processing and Computer Vision</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup></BookInfo><BookHeader><EditorGroup><Editor><EditorName DisplayOrder="Western"><GivenName>Elisabeth</GivenName><FamilyName>André</FamilyName></EditorName><Contact><Email>andre@informatik.uni-augsburg.de</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Laila</GivenName><FamilyName>Dybkjær</FamilyName></EditorName><Contact><Email>laila@pdc.dk</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Wolfgang</GivenName><FamilyName>Minker</FamilyName></EditorName><Contact><Email>wolfgang.minker@e-technik.uni-ulm.de</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Heiko</GivenName><FamilyName>Neumann</FamilyName></EditorName><Contact><Email>heiko.neumann@uni-ulm.de</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Roberto</GivenName><FamilyName>Pieraccini</FamilyName></EditorName><Contact><Email>roberto@speechcycle.com</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Michael</GivenName><FamilyName>Weber</FamilyName></EditorName><Contact><Email>Michael.Weber@uni-ulm.de</Email></Contact></Editor></EditorGroup></BookHeader><Part ID="Part2"><PartInfo TocLevels="0"><PartID>2</PartID><PartSequenceNumber>2</PartSequenceNumber><PartTitle>Multimodal and Spoken Dialogue Systems</PartTitle><PartChapterCount>6</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Perception in Multimodal Dialogue Systems</BookTitle></PartContext></PartInfo><Chapter ID="Chap6" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingStyle="Unnumbered" TocLevels="0"><ChapterID>6</ChapterID><ChapterDOI>10.1007/978-3-540-69369-7_6</ChapterDOI><ChapterSequenceNumber>6</ChapterSequenceNumber><ChapterTitle Language="En">Codebook Design for Speech Guided Car Infotainment Systems</ChapterTitle><ChapterFirstPage>44</ChapterFirstPage><ChapterLastPage>51</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2008</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>2</PartID><BookID>978-3-540-69369-7</BookID><BookTitle>Perception in Multimodal Dialogue Systems</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff1 Aff2"><AuthorName DisplayOrder="Western"><GivenName>Martin</GivenName><FamilyName>Raab</FamilyName></AuthorName><Contact><Email>mraab@harmanbecker.com</Email><URL>http://www.harmanbecker.de</URL></Contact></Author><Author AffiliationIDS="Aff1 Aff3"><AuthorName DisplayOrder="Western"><GivenName>Rainer</GivenName><FamilyName>Gruhn</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff2"><AuthorName DisplayOrder="Western"><GivenName>Elmar</GivenName><FamilyName>Noeth</FamilyName></AuthorName></Author><Affiliation ID="Aff1"><OrgName>Harman Becker Automotive Systems, Speech Dialog Systems</OrgName><OrgAddress><State>Ulm</State><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff2"><OrgDivision>Dept. of Pattern Recognition</OrgDivision><OrgName>University of Erlangen</OrgName><OrgAddress><City>Erlangen</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff3"><OrgDivision>Dept. of Information Technology</OrgDivision><OrgName>University of Ulm</OrgName><OrgAddress><State>Ulm</State><Country>Germany</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>In car infotainment systems commands and other words in the user’s main language must be recognized with maximum accuracy, but it should be possible to use foreign names as they frequently occur in music titles or city names. Previous approaches did not address the constraint of conserving the main language performance when they extended their systems to cover multilingual input.</Para><Para>In this paper we present an approach for speech recognition of multiple languages with constrained resources on embedded devices. Speech recognizers on such systems are typically to-date semi-continuous speech recognizers, which are based on vector quantization.</Para><Para>We provide evidence that common vector quantization algorithms are not optimal for such systems when they have to cope with input from multiple languages. Our new method combines information from multiple languages and creates a new codebook that can be used for efficient vector quantization in multilingual scenarios. Experiments show significant improved speech recognition results.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Codebook Design for Speech Guided Car Infotainment Systems</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Codebook Design for Speech Guided Car Infotainment Systems</title></titleInfo><name type="personal"><namePart type="given">Martin</namePart><namePart type="family">Raab</namePart><affiliation>Harman Becker Automotive Systems, Speech Dialog Systems, Ulm, Germany</affiliation><affiliation>Dept. of Pattern Recognition, University of Erlangen, Erlangen, Germany</affiliation><affiliation>E-mail: mraab@harmanbecker.com</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Rainer</namePart><namePart type="family">Gruhn</namePart><affiliation>Harman Becker Automotive Systems, Speech Dialog Systems, Ulm, Germany</affiliation><affiliation>Dept. of Information Technology, University of Ulm, Ulm, Germany</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Elmar</namePart><namePart type="family">Noeth</namePart><affiliation>Dept. of Pattern Recognition, University of Erlangen, Erlangen, Germany</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2008</dateIssued><copyrightDate encoding="w3cdtf">2008</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: In car infotainment systems commands and other words in the user’s main language must be recognized with maximum accuracy, but it should be possible to use foreign names as they frequently occur in music titles or city names. Previous approaches did not address the constraint of conserving the main language performance when they extended their systems to cover multilingual input. In this paper we present an approach for speech recognition of multiple languages with constrained resources on embedded devices. Speech recognizers on such systems are typically to-date semi-continuous speech recognizers, which are based on vector quantization. We provide evidence that common vector quantization algorithms are not optimal for such systems when they have to cope with input from multiple languages. Our new method combines information from multiple languages and creates a new codebook that can be used for efficient vector quantization in multilingual scenarios. Experiments show significant improved speech recognition results.</abstract><relatedItem type="host"><titleInfo><title>Perception in Multimodal Dialogue Systems</title><subTitle>4th IEEE Tutorial and Research Workshop on Perception and Interactive Technologies for Speech-Based Systems, PIT 2008, Kloster Irsee, Germany, June 16-18, 2008. Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Elisabeth</namePart><namePart type="family">André</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Laila</namePart><namePart type="family">Dybkjær</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Wolfgang</namePart><namePart type="family">Minker</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Heiko</namePart><namePart type="family">Neumann</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Roberto</namePart><namePart type="family">Pieraccini</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Michael</namePart><namePart type="family">Weber</namePart><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2008</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book-Subject-Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book-Subject-Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic><topic authority="SpringerSubjectCodes" authorityURI="I21041">Language Translation and Linguistics</topic><topic authority="SpringerSubjectCodes" authorityURI="I18067">User Interfaces and Human Computer Interaction</topic><topic authority="SpringerSubjectCodes" authorityURI="I24040">Computers and Society</topic><topic authority="SpringerSubjectCodes" authorityURI="I22021">Image Processing and Computer Vision</topic></subject><identifier type="DOI">10.1007/978-3-540-69369-7</identifier><identifier type="ISBN">978-3-540-69368-0</identifier><identifier type="eISBN">978-3-540-69369-7</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">164793</identifier><identifier type="BookID">978-3-540-69369-7</identifier><identifier type="BookChapterCount">37</identifier><identifier type="BookVolumeNumber">5078</identifier><identifier type="BookSequenceNumber">5078</identifier><identifier type="PartChapterCount">6</identifier><part><date>2008</date><detail type="part"><title>Multimodal and Spoken Dialogue Systems</title></detail><detail type="volume"><number>5078</number><caption>vol.</caption></detail><extent unit="pages"><start>44</start><end>51</end></extent></part><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2008</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title></titleInfo><originInfo><copyrightDate encoding="w3cdtf">2008</copyrightDate><issuance>serial</issuance></originInfo><relatedItem type="constituent"><titleInfo><title>Lecture Notes in Artificial Intelligence</title></titleInfo><name type="personal"><namePart type="given">Jaime</namePart><namePart type="given">G.</namePart><namePart type="family">Carbonell</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">J\"org</namePart><namePart type="family">Siekmann</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Elisabeth</namePart><namePart type="family">André</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Laila</namePart><namePart type="family">Dybkjær</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Wolfgang</namePart><namePart type="family">Minker</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Heiko</namePart><namePart type="family">Neumann</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Roberto</namePart><namePart type="family">Pieraccini</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Michael</namePart><namePart type="family">Weber</namePart><role><roleTerm type="text">editor</roleTerm></role></name><genre type="sub-series"></genre><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="SubSeriesID">1244</identifier></relatedItem><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="SeriesID">558</identifier><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2008</recordOrigin></recordInfo></relatedItem><identifier type="istex">B0900FEE6C7C3D6AD35E4498DC98E585F9B042DC</identifier><identifier type="DOI">10.1007/978-3-540-69369-7_6</identifier><identifier type="ChapterID">6</identifier><identifier type="ChapterID">Chap6</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer-Verlag Berlin Heidelberg, 2008</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag Berlin Heidelberg, 2008</recordOrigin></recordInfo></mods></metadata></istex></record>Pour manipuler ce document sous Unix (Dilib)
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