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Journal of Intelligent Information Systems

, Volume 51, Issue 2, pp 439–455 | Cite as

Weighted fast sequential DTW for multilingual audio Query-by-Example retrieval

  • Jozef VavrekEmail author
  • Peter Viszlay
  • Martin Lojka
  • Jozef Juhár
  • Matúš PlevaEmail author
Article

Abstract

This paper examines multilingual audio Query-by-Example (QbE) retrieval, utilizing the posteriorgram-based Phonetic Unit Modelling (PUM) approach and the Weighted Fast Sequential Dynamic Time Warping (WFSDTW) algorithm. The PUM approach employs phone recognizers trained on language-specific external resources in a supervised way. Thus, the information about the phonetic distribution is embedded in the process of acoustic modelling. The resulting acoustic models were also used for language-independent QbE retrieval. The improved WFSDTW algorithm was implemented in order to perform retrievals for each query (keyword) within the particular utterance file. The major interest is placed on a retrieval performance measurement of the proposed WFSDTW solution employing posteriorgram-based keyword matching with Gaussian mixture modelling (GMM). Score normalization and fusion of four different language-dependent sub-systems was carried out using a simple max-score merging strategy. The results show a certain predominance of the proposed WFSDTW solution among two other evaluated techniques, namely basic DTW and segmental DTW algorithms. Also, the combination of multiple PUM techniques together with the WFSDTW has been proved as an effective solution for the QbE task.

Keywords

Query-by-Example retrieving Phonetic unit modeling Sequential dynamic time warping 

Notes

Acknowledgements

The research presented in this paper was supported by the Slovak Research and Development Agency under the research project APVV-15-0517 and by the Ministry of Education, Science, Research and Sport of the Slovak Republic under the project VEGA 1/0511/17.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Electronics and Multimedia Communications, FEI TU KošiceTechnical University of KošiceKošiceSlovak Republic

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