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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Bibliografiske detaljer
Institution som forfatter: International ACM SIGIR conference on research and development in information retrieval :La Nouvelle-Orléans, La
Andre forfattere: Coden, Anni R. (Directeur de la publication), Brown, Eric W. (Directeur de la publication), Srinivasan, Savitha (Directeur de la publication)
Format: Livre numérique
Sprog:Anglais
Udgivet: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Serier:Lecture notes in computer science 2273
Fag:
Online adgang:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Kommentar: 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)
Autres localisations: Voir dans le Sudoc
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
Indholdsfortegnelse:
  • 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).