Abstract
In this work we present the experimental evaluation of a new beam-search formant tracking algorithm under noisy conditions and compare its performance with three formant tracking methods. The proposed formant tracking algorithm makes use of the roots of the polynomial of a Linear Predictive Coding (LPC) as formant candidates. The best combination of formant candidates respect to a defined cost function are selected applying a beam-search algorithm. The cost function makes use of information about local and neighbor frames using trajectory functions in order to preserve the dynamics of the frequency of formants. Experiments were carried out with a subset of the TIMIT database, contaminated with various types and levels of noises. The results show that the beam-search formant tracker have a robust behavior in noisy environments and it is clearly more precise than the rest of compared methods.
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Ribas González, D., García Laínez, J.E., Miguel, A., Ortega Gimenez, A., Lleida, E., Calvo de Lara, J.R. (2012). Evaluation of a New Beam-Search Formant Tracking Algorithm in Noisy Environments. In: Torre Toledano, D., et al. Advances in Speech and Language Technologies for Iberian Languages. Communications in Computer and Information Science, vol 328. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35292-8_5
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DOI: https://doi.org/10.1007/978-3-642-35292-8_5
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