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2019 | OriginalPaper | Chapter

Speaker Recognition in Orthogonal Complement of Time Session Variability Subspace

Authors : Satoru Tsuge, Shingo Kuroiwa

Published in: Intelligent Interactive Multimedia Systems and Services

Publisher: Springer International Publishing

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Abstract

A time session variability between the enrollment data and the recognized data degrades speaker recognition performance. Hence, the time session variability is one of the most important issues in the speaker recognition technology. In this paper, we propose a robust speaker recognition method for the time session variability. The proposed method estimates a time session variability subspace. Then, the proposed method carries out the speaker recognition in the orthogonal complement of the time session variability subspace. In addition, we incorporate a linear discriminant analysis method into the proposed method. In order to evaluate the proposed method, we conducted a speaker identification experiment. Experimental results show that the proposed method improves speaker identification performance of baseline.

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Metadata
Title
Speaker Recognition in Orthogonal Complement of Time Session Variability Subspace
Authors
Satoru Tsuge
Shingo Kuroiwa
Copyright Year
2019
Book
Intelligent Interactive Multimedia Systems and Services

Print ISBN: 978-3-319-92230-0

Electronic ISBN: 978-3-319-92231-7

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-92231-7_11

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