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Published in:
2013 | OriginalPaper | Chapter
Identify the Benefits of the Different Steps in an i-Vector Based Speaker Verification System
Authors : Pierre-Michel Bousquet, Jean-François Bonastre, Driss Matrouf
Published in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Publisher: Springer Berlin Heidelberg
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This paper focuses on the analysis of the i-vector paradigm, a compact representation of spoken utterances that is used by most of the state of the art speaker verification systems. This work was mainly motivated by the need to quantify the impact of their steps on the final performance, especially their ability to model data according to a theoretical Gaussian framework. These investigations allow to highlight the key points of the approach, in particular a core conditioning procedure, that lead to the success of the i-vector paradigm.