Anni R. Coden / Eric W. Brown / Savitha Srinivasan (eds.)

Information Retrieval Techniques for Speech Applications

Herausgegeben:Coden, Anni R.; Brown, Eric W.; Srinivasan, Savitha

• Broschiertes Buch

Produktbeschreibung

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.

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Produktdetails

• Lecture Notes in Computer Science 2273
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 978-3-540-43156-5
• 2002
• Seitenzahl: 128
• Erscheinungstermin: 23. Januar 2002
• Englisch
• Abmessung: 235mm x 155mm x 8mm
• Gewicht: 191g
• ISBN-13: 9783540431565
• ISBN-10: 354043156X
• Artikelnr.: 23294646

Autorenporträt

Anni R. Coden, IBM T.J. Watson Research Center, Yorktown Heights, NY, USA / Eric W. Brown, IBM T.J. Watson Research Center, Yorktown Heigths, NY, USA / Savitha Srinivasan, IBM Almaden Research Center, San Jose, CA, USA

Inhaltsangabe

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).