Abstract
In this paper are presented different approaches for speaker position identification that use a microphone array and known voice models. Comparison of speaker positioning is performed by using acoustic maps based on FBF and PHAT. The goal of the experiments is to find best algorithm parameters and their approbation for different types of noises. The proposed approaches allows for better results in automatic positioning under noisy conditions. It enables to identify the target speaker whose speech duration is longer than 10 s.
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Acknowledgements
This work was partially financially supported by the Govern-ment of the Russian Federation, Grant 074-U01.
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Shuranov, E., Lavrentyev, A., Kozlyaev, A., Lavrentyeva, G., Volkovaya, V. (2016). Finding Speaker Position Under Difficult Acoustic Conditions. 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_38
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DOI: https://doi.org/10.1007/978-3-319-43958-7_38
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