Towards multilingual articulatory feature recognition with Support Vector Machines

Authors

  • Jan Macek School of Computer Science and Informatics, University College Dublin, Ireland Author
  • Anja Geumann School of Computer Science and Informatics, University College Dublin, Ireland Author
  • Julie Carson-Berndsen School of Computer Science and Informatics, University College Dublin, Ireland Author

DOI:

https://doi.org/10.36505/ExLing-2006/01/0039/000039

Abstract

We present experiments on mono-lingual and cross-lingual articulatory feature recognition for English and German speech data. Our goal is to investigate to what extent it is possible to derive and reuse articulatory feature recognizers, whether particular features are better suited to this task. Finally whether this goal is practically achievable with the chosen machine learning technique and the selected set of speech signal descriptors.

 

References

Garofolo, JS, Lamel, LF, Fisher, WM, Fiscus, JG, Pallett, DS and Dahlgren, NL. 1993. DARPA TIMIT Acoustic-Phonetic Continuous Speech Corpus CD-ROM. Technical Report NISTIR 4930, National Institute of Standards and Technology, Gaithersburg, MD, USA

Kanokphara, S, Macek, J, and Carson-Berndsen, J. 2006. Comparative Study: HMM & SVM for Automatic Articulatory Feature Extraction. In Proc. of the 19th Intern. Conf. on Industrial, Engineering & Other Applications of Applied Intelligent Systems, Annecy, France, June 2006. Springer Verlag.

Macek, J, Kanokphara, S and Geumann, A. 2005. Articulatory-acoustic Feature Recognition: Comparison of Machine Learning and HMM methods. In Proc. of the 10th Intern. Conf. on Speech and Computer SPECOM 2005, vol. 1, 99–103. University of Patras, Greece, 2005.

Joachims, T. 1999. Making large-scale SVM learning practical. In Schoelkopf, B, Burges, CJC and Smola, AJ (eds.), Advances in Kernel Methods—Support Vector Learning, 169–184, Cambridge, MA, MIT Press.

Schoelkopf, B and Smola, AJ. 2002. Learning with Kernels. Cambridge, MA, MIT Press.

Boersma, P and Weenink, D. 2006. Praat: doing phonetics by computer (Version 4.4.04) [Computer program]. Retrieved from http://www.praat.org/.

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Published

01-01-2006

Issue

Vol. 1 (2006): Proceedings of the 1st Tutorial and Research Workshop on Experimental Linguistics

Section

Proceedings Papers

License

Copyright (c) 2006 Jan Macek (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Articles are published under the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

How to Cite

Towards multilingual articulatory feature recognition with Support Vector Machines. (2006). Linguistic Proceedings Series, 1(1), 181-184. https://doi.org/10.36505/ExLing-2006/01/0039/000039

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