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Information Retrieval Techniques for Speech Applications

  • Conference proceedings
  • © 2002

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2273)

Included in the following conference series:

Conference proceedings info: IRTSA 2001.

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Table of contents (10 papers)

  1. Traditional Information Retrieval Techniques

  2. Spoken Document Pre-processing

  3. Adapting IR Techniques to Spoken Documents

  4. Techniques for Multi-media Collections

  5. New Applications

Other volumes

  1. Information Retrieval Techniques for Speech Applications

Keywords

About this book

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.

Editors and Affiliations

  • IBM T.J. Watson Research Center, Yorktown Heights, USA

    Anni R. Coden, Eric W. Brown

  • IBM Almaden Research Center, San Jose, USA

    Savitha Srinivasan

Bibliographic Information

  • Book Title: Information Retrieval Techniques for Speech Applications

  • Editors: Anni R. Coden, Eric W. Brown, Savitha Srinivasan

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-45637-6

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2002

  • Softcover ISBN: 978-3-540-43156-5Published: 23 January 2002

  • eBook ISBN: 978-3-540-45637-7Published: 31 July 2003

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XII, 116

  • Topics: Information Storage and Retrieval, Natural Language Processing (NLP)

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