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Detection of Speaker Characteristics Using Voice Imitation

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Speaker Classification II

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4441))

Abstract

When recognizing a voice we attend to particular features of the person’s speech and voice. Through voice imitation it is possible to investigate which aspects of the human voice need to be altered to successfully mislead the listener. This suggests that voice and speech imitation can be exploited as a methodological tool to find out which features a voice impersonator picks out in the target voice and which features in the human voice are not changed, thereby making it possible to identify the impersonator instead of the target voice. This article examines whether three impersonators, two professional and one amateur, selected the same features and speaker characteristics when imitating the same target speakers and whether they achieved similar degrees of success. The acoustic-auditory results give an insight into how difficult it is to focus on only one or two features when trying to identify one speaker from his voice.

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Christian MĂĽller

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© 2007 Springer-Verlag Berlin Heidelberg

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Zetterholm, E. (2007). Detection of Speaker Characteristics Using Voice Imitation. In: MĂĽller, C. (eds) Speaker Classification II. Lecture Notes in Computer Science(), vol 4441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74122-0_16

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  • DOI: https://doi.org/10.1007/978-3-540-74122-0_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74121-3

  • Online ISBN: 978-3-540-74122-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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