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Speaker Verification Performance Evaluation Based on Open Source Speech Processing Software and TIMIT Speech Corpus

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Computer Networks (CN 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 522))

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Abstract

Creating of speaker recognition application requires advanced speech processing techniques realized by specialized speech processing software. It is very possible to improve the speaker recognition research by using speech processing platform based on open source software. The article presents the example of using open source speech processing software to perform speaker verification experiments designed to test various speaker recognition models based on different scenarios. Speaker verification efficiency was evaluated for each scenario using TIMIT speech corpus distributed by Linguistic Data Consortium. The experiment results allowed to compare and select the best scenario to build speaker model for speaker verification application.

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References

  1. Dustor, A., Kłosowski, P., Izydorczyk, J.: Influence of feature dimensionality and model complexity on speaker verification performance. In: Kwiecień, A., Gaj, P., Stera, P. (eds.) CN 2014. CCIS, vol. 431, pp. 177–186. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  2. Dustor, A., Kłosowski, P., Izydorczyk, J.: Speaker recognition system with good generalization properties. In: Proceedings of International Conference on Multimedia Computing and Systems 2014 p. 73, Marrakech, Morocco, IEEE (2014)

    Google Scholar 

  3. Rabiner, L.R., Schafer, R.W.: Introduction to digital speech processing. Found. Trends Sig. Process. 1(1–2), 1–194 (2007)

    Article  Google Scholar 

  4. Kłosowski, P., Dustor, A., Izydorczyk, J., Kotas, J., Ślimok, J.: Speech recognition based on open source speech processing software. In: Kwiecień, A., Gaj, P., Stera, P. (eds.) CN 2014. CCIS, vol. 431, pp. 308–317. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  5. Beigi, H.: Fundamentals of speaker recognition. Springer, New York (2011)

    Book  MATH  Google Scholar 

  6. Togneri, R., Pullella, D.: An overview of speaker identification: accuracy and robustness issues. IEEE Circ. Sys. Mag. 11(2), 23–61 (2011)

    Article  Google Scholar 

  7. Tsontzos, G., Orglmeister, R.: CMU Sphinx4 speech recognizer in a Service-oriented Computing style. In: IEEE International Conference on Service-Oriented Computing and Applications (SOCA), pp. 1–4 (2011)

    Google Scholar 

  8. Bilmes, J., Bartels, C.: Graphical model architectures for speech recognition. IEEE Sig Process. Mag. 22(5), 89–100 (2005)

    Article  Google Scholar 

  9. Pellom, B., Hacioglu, K.: Recent improvements in the CU SONIC ASR system for noisy speech: the SPINE task. In: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). Hong Kong (Apr 2003)

    Google Scholar 

  10. Young, S., Evermann, G., Hain, T., Kershaw, D., Moore, G., Odell, J., Ollason, D., Povey, D., Valtchev, V., Woodland, P.: The HTK Book. Cambridge University Engineering Department, Cambridge, UK (2002)

    Google Scholar 

  11. Bonastre, J.F., Wils, F., Meignier, S.: ALIZE, a free toolkit for speaker recognition. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP ’05), vol. 1, pp. 737–740 (2005)

    Google Scholar 

  12. Speech Processing, Transmission and Quality Aspects (STQ); Distributed speech recognition; Front-end feature extraction algorithm; Compression algorithms. Technical standard ES 201 108, v1.1.3. European Telecommunications Standards Institute (2003)

    Google Scholar 

  13. Fauve, B.G.B., Matrouf, D., Scheffer, N., Bonastre, J.F., Mason, J.S.D.: State-of-the-art performance in text-independent speaker verification through open-source software. IEEE Trans. Audio, Speech, Lang. Process. 15(7), 1960–1968 (2007)

    Article  Google Scholar 

  14. Garofolo, J.S., Lamel, L.F., Fisher, W.M., Fiscus, J.G., Pallett, D.S., Dahlgren, N.L., Zue, V.: TIMIT Acoustic-Phonetic Continuous Speech Corpus. Linguistic Data Consortium, Philadelphia (1993)

    Google Scholar 

  15. Fisher, W.M., Doddington, G.R., Goudie-Marshall, K.M.: The DARPA speech recognition research database: specifications and status. In: Proceedings of DARPA Workshop on Speech Recognition, pp. 93–99 (1986)

    Google Scholar 

  16. Fernandez, S., Graves, A., Schmidhuber, J.: Phoneme recognition in TIMIT with BLSTM-CTC (2008)

    Google Scholar 

  17. Lopes, C., Perdigao, F.: Phoneme Recognition on the TIMIT Database (2011)

    Google Scholar 

Download references

Acknowledgements

This work was supported by The National Centre for Research and Development (www.ncbir.gov.pl) under Grant number POIG.01.03.01-24-107/12 (Innovative speaker recognition methodology for communications network safety).

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Authors and Affiliations

  1. Silesian University of Technology, Institute of Electronics, Akademicka Str. 16, 44-100, Gliwice, Poland

    Piotr Kłosowski, Adam Dustor & Jacek Izydorczyk

Authors
  1. Piotr Kłosowski
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  2. Adam Dustor
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  3. Jacek Izydorczyk
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Correspondence to Piotr Kłosowski .

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Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    Piotr Gaj

  2. Silesian University of Technology, Gliwice, Poland

    Andrzej Kwiecień

  3. Silesian University of Technology, Gliwice, Poland

    Piotr Stera

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Kłosowski, P., Dustor, A., Izydorczyk, J. (2015). Speaker Verification Performance Evaluation Based on Open Source Speech Processing Software and TIMIT Speech Corpus. In: Gaj, P., Kwiecień, A., Stera, P. (eds) Computer Networks. CN 2015. Communications in Computer and Information Science, vol 522. Springer, Cham. https://doi.org/10.1007/978-3-319-19419-6_38

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  • DOI: https://doi.org/10.1007/978-3-319-19419-6_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19418-9

  • Online ISBN: 978-3-319-19419-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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