Abstract
Modern speaker verification systems take advantage of a number of complementary base classifiers by fusing them to get reliable verification decisions. The paper presents a semi-automatic speaker verification system based on fusion of formant frequencies, phone durations and pitch characteristics. Experimental results demonstrate that combination of these characteristics improves speaker verification performance. For improved and cost-effective performance of the pitch subsystem further we selected the most informative pitch characteristics.
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This work was financially supported by the Government of the Russian Federation, Grant 074-U01.
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Bulgakova, E., Sholohov, A. (2016). Semi-automatic Speaker Verification System Based on Analysis of Formant, Durational and Pitch Characteristics. In: Ronzhin, A., Potapova, R., Németh, G. (eds) Speech and Computer. SPECOM 2016. Lecture Notes in Computer Science(), vol 9811. Springer, Cham. https://doi.org/10.1007/978-3-319-43958-7_74
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DOI: https://doi.org/10.1007/978-3-319-43958-7_74
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