Information retrieval techniques for speech applications

This volume is based on a workshop held on September 13, 2001 in New Orleans, LA, USA as part of the24thAnnualInternationalACMSIGIRConferenceon ResearchandDevelopmentinInformationRetrieval.Thetitleoftheworkshop was: Information Retrieval Techniques for Speech Applications. Interestinspeechapplicatio...

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Συγγραφή απο Οργανισμό/Αρχή: International ACM SIGIR conference on research and development in information retrieval :La Nouvelle-Orléans, La
Άλλοι συγγραφείς: Coden, Anni R. (Διευθυντής έκδοσης), Brown, Eric W. (Διευθυντής έκδοσης), Srinivasan, Savitha (Διευθυντής έκδοσης)
Μορφή: Livre numérique
Γλώσσα:Anglais
Έκδοση: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Σειρά:Lecture notes in computer science 2273
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Σημείωση: Actes d'une conférence tenue à La Nouvelle-Orléans le 13 septembre 2001, d'après la préface
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Edition sous un autre format:• Information retrieval techniques for speech applications, Anni R. Coden, Eric W. Brown, Savitha Srinivasan (eds.), Berlin, Springer, 2002, 1 vol. (VII-108 p.), Lecture notes in computer science, 3-540-43156-X
• Information Retrieval Techniques for Speech Applications, Texte imprimé, 9783662161975
Περιγραφή
Περίληψη:This volume is based on a workshop held on September 13, 2001 in New Orleans, LA, USA as part of the24thAnnualInternationalACMSIGIRConferenceon ResearchandDevelopmentinInformationRetrieval.Thetitleoftheworkshop was: Information Retrieval Techniques for Speech Applications. Interestinspeechapplicationsdatesbackanumberofdecades.However, it is only in the last few years that automatic speech recognition has left the con?nes of the basic research lab and become a viable commercial application. Speech recognition technology has now matured to the point where speech can be used to interact with automated phone systems, control computer programs, andevencreatememosanddocuments.Movingbeyondcomputercontroland dictation, speech recognition has the potential to dramatically change the way we create,capture,andstoreknowledge.Advancesinspeechrecognitiontechnology combined with ever decreasing storage costs and processors that double in power every eighteen months have set the stage for a whole new era of applications that treat speech in the same way that we currently treat text. The goal of this workshop was to explore the technical issues involved in a- lying information retrieval and text analysis technologies in the new application domainsenabledbyautomaticspeechrecognition.Thesepossibilitiesbringwith themanumberofissues,questions,andproblems.Speech-baseduserinterfaces create di?erent expectations for the end user, which in turn places di?erent - mands on the back-end systems that must interact with the user and interpret theuser scommands.Speechrecognitionwillneverbeperfect,soanalyses- plied to the resulting transcripts must be robust in the face of recognition errors. The ability to capture speech and apply speech recognition on smaller, more - werful, pervasivedevices suggests that text analysis and mining technologies can be applied in new domains never before considered.
Περιγραφή τεκμηρίου:Actes d'une conférence tenue à La Nouvelle-Orléans le 13 septembre 2001, d'après la préface
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540456377 (PDF)
ISSN:1611-3349
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