The paper proposes a speaker identification scheme for a meeting scenario, that is able to answer the question "is somebody currently talking?", if yes, "who is it?". The suggested system has been designed to identify during a meeting conversation the current speaker from a set of pre-trained speaker models. Experimental results on two databases show the robustness of the approach to the overlapping phenomena and the ability of the algorithm to correctly identify a speaker with short audio segments.

Robust Speaker Identification in a Meeting with Short Audio Segments / Biagetti, Giorgio; Crippa, Paolo; Falaschetti, Laura; Orcioni, Simone; Turchetti, Claudio. - 57:(2016), pp. 465-477. [10.1007/978-3-319-39627-9_41]

Robust Speaker Identification in a Meeting with Short Audio Segments

BIAGETTI, Giorgio;CRIPPA, Paolo;FALASCHETTI, LAURA
;
ORCIONI, Simone;TURCHETTI, Claudio
2016-01-01

Abstract

The paper proposes a speaker identification scheme for a meeting scenario, that is able to answer the question "is somebody currently talking?", if yes, "who is it?". The suggested system has been designed to identify during a meeting conversation the current speaker from a set of pre-trained speaker models. Experimental results on two databases show the robustness of the approach to the overlapping phenomena and the ability of the algorithm to correctly identify a speaker with short audio segments.
2016
Intelligent Decision Technologies 2016 - Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016) – Part II
978-3-319-39626-2
978-3-319-39627-9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/235877
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