A Phonetic-Based Approach to Query-by-Example Spoken Term Detection

  • Lluís-F. Hurtado
  • Marcos Calvo
  • Jon Ander Gómez
  • Fernando García
  • Emilio Sanchis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8258)


Query-by-Example Spoken Term Detection (QbE-STD) tasks are usually addressed by representing speech signals as a sequence of feature vectors by means of a parametrization step, and then using a pattern matching technique to find the candidate detections. In this paper, we propose a phoneme-based approach in which the acoustic frames are first converted into vectors representing the a posteriori probabilities for every phoneme. This strategy is specially useful when the language of the task is a priori known. Then, we show how this representation can be used for QbE-STD using both a Segmental Dynamic Time Warping algorithm and a graph-based method. The proposed approach has been evaluated with a QbE-STD task in Spanish, and the results show that it can be an adequate strategy for tackling this kind of problems.


Spoken Term Detection Query-by-Example Automatic Speech Recognition 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Lluís-F. Hurtado
    • 1
  • Marcos Calvo
    • 1
  • Jon Ander Gómez
    • 1
  • Fernando García
    • 1
  • Emilio Sanchis
    • 1
  1. 1.Departament de Sistemes Informàtics i ComputacióUniversitat Politècnica de ValènciaSpain

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