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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Yhteisötekijä: International ACM SIGIR conference on research and development in information retrieval :La Nouvelle-Orléans, La
Muut tekijät: Coden, Anni R. (Päätoimittaja), Brown, Eric W. (Päätoimittaja), Srinivasan, Savitha (Päätoimittaja)
Aineistotyyppi: Livre numérique
Kieli:Anglais
Julkaistu: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Sarja:Lecture notes in computer science 2273
Aiheet:
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Huomautus: Actes d'une conférence tenue à La Nouvelle-Orléans le 13 septembre 2001, d'après la préface
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Archives Springer e-books (Licence nationale)
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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
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111 2 |a International ACM SIGIR conference on research and development in information retrieval  |n (24  |d  :2001  |c  :La Nouvelle-Orléans, La). 
245 1 0 |a Information retrieval techniques for speech applications   |c [edited by] Anni R. Coden, Eric W. Brown, Savitha Srinivasan. 
260 |a Berlin [etc.] :  |b Springer. 
260 |a Cham :  |b Springer Nature,  |c [20..]. 
490 0 |a Lecture notes in computer science  |v 2273  |x 1611-3349 
500 |a Actes d'une conférence tenue à La Nouvelle-Orléans le 13 septembre 2001, d'après la préface 
500 |a Archives Springer e-books (Licence nationale) 
500 |a Archives Springer e-books (Licence nationale) 
505 0 |a Traditional Information Retrieval Techniques -- Perspectives on Information Retrieval and Speech -- Spoken Document Pre-processing -- Capitalization Recovery for Text -- Adapting IR Techniques to Spoken Documents -- Clustering of Imperfect Transcripts Using a Novel Similarity Measure -- Extracting Keyphrases from Spoken Audio Documents -- Segmenting Conversations by Topic, Initiative, and Style -- Extracting Caller Information from Voicemail -- Techniques for Multi-media Collections -- Speech and Hand Transcribed Retrieval -- New Applications -- The Use of Speech Retrieval Systems: A Study Design -- Speech-Driven Text Retrieval: Using Target IR Collections for Statistical Language Model Adaptation in Speech Recognition -- WASABI: Framework for Real-Time Speech Analysis Applications (Demo). 
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506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a 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. 
650 |a Informatique 
650 |a Traitement automatique de la parole 
650 |a Linguistique  |x Informatique 
650 |a Systèmes d'information 
650 |a Informatique documentaire 
650 |a Actes de congrès 
700 1 |a Coden, Anni R.  |4 pbd 
700 1 |a Brown, Eric W.  |4 pbd 
700 1 |a Srinivasan, Savitha.  |4 pbd 
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776 0 |t Information Retrieval Techniques for Speech Applications  |b Texte imprimé  |z 9783662161975 
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