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Automatic Speech Recognition Texts Clustering

  • Svetlana Popova
  • Ivan Khodyrev
  • Irina Ponomareva
  • Tatiana Krivosheeva
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8655)

Abstract

Abstract. This paper deals with the clustering task for Russian texts obtained using automatic speech recognition (ASR). The input for processing are recognition result for phone call recordings and manual text transcripts for these calls. We present a comparative analysis of clustering results for recognition texts and manual text transcripts, make an evaluation of how recognition quality affects clustering and explore approaches to increasing clustering quality by using stop words and Latent Semantic Indexing (LSI).

Keywords

clustering speech-to-text recognition result clustering Latent Semantic Indexing information retrieval stop words 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Svetlana Popova
    • 1
    • 2
  • Ivan Khodyrev
    • 2
  • Irina Ponomareva
    • 3
  • Tatiana Krivosheeva
    • 3
  1. 1.Saint-Petersburg State UniversitySaint-PetersburgRussia
  2. 2.ITMO UniversitySaint-PetersburgRussia
  3. 3.Speech Technology CenterSaint-PetersburgRussia

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