Information Retrieval Techniques for Speech Applications by Anni R. CodenInformation Retrieval Techniques for Speech Applications by Anni R. Coden

Information Retrieval Techniques for Speech Applications

EditorAnni R. Coden, Eric W. Brown, Savitha Srinivasan

Paperback | January 23, 2002

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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, pervasive devices suggests that text analysis and mining technologies can be applied in new domains never before considered.
Title:Information Retrieval Techniques for Speech ApplicationsFormat:PaperbackDimensions:128 pagesPublished:January 23, 2002Publisher:Springer Berlin HeidelbergLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:354043156X

ISBN - 13:9783540431565

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Table of Contents

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).