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Combining Slot-based Vector Space Model for Voice Book Search

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Proceedings of the Paralinguistic Information and its Integration in Spoken Dialogue Systems Workshop

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Abstract

We describe a hybrid approach to vector space model that improves accuracy in voice search for books. We compare different vector space approaches and demonstrate that the hybrid search model using a weighted sub-space model smoothed with a general model and a back-off scheme provides the best search performance on natural queries obtained from the Web.

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Authors and Affiliations

  1. Academic Center for Computing and Media Studies, Kyoto University, Kyoto, Japan

    Cheongjae Lee & Tatsuya Kawahara

  2. Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, USA

    Alexander Rudnicky

Authors
  1. Cheongjae Lee
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  2. Tatsuya Kawahara
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  3. Alexander Rudnicky
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Corresponding author

Correspondence to Cheongjae Lee .

Editor information

Editors and Affiliations

  1. , Dept. of Languages and Computer Systems, University of Granada, Granada, 18071, Spain

    Ramón López-Cózar Delgado

  2. , Dept. of Computer Science & Engineering, Waseda University, Okubo 3-4-1, Tokyo, 169-8555, Japan

    Tetsunori Kobayashi

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Lee, C., Kawahara, T., Rudnicky, A. (2011). Combining Slot-based Vector Space Model for Voice Book Search. In: Delgado, RC., Kobayashi, T. (eds) Proceedings of the Paralinguistic Information and its Integration in Spoken Dialogue Systems Workshop. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1335-6_5

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  • DOI: https://doi.org/10.1007/978-1-4614-1335-6_5

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-1334-9

  • Online ISBN: 978-1-4614-1335-6

  • eBook Packages: EngineeringEngineering (R0)

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