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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| Muut tekijät: | , , |
| Aineistotyyppi: | Livre numérique |
| Kieli: | Anglais |
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Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Sarja: | Lecture notes in computer science
2273 |
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| Linkit: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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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 |
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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). | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 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 | |
| 776 | 0 | |0 068974620 |t Information retrieval techniques for speech applications |f Anni R. Coden, Eric W. Brown, Savitha Srinivasan (eds.) |c Berlin |n Springer |d 2002 |p 1 vol. (VII-108 p.) |s Lecture notes in computer science |z 3-540-43156-X | |
| 776 | 0 | |t Information Retrieval Techniques for Speech Applications |b Texte imprimé |z 9783662161975 | |
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