Exploration of small enrollment speaker verification on handheld devices
Name
62558712-MIT.pdf
Description
Full printable version
Size
2.54 MB
Format
Adobe PDF
Checksum (MD5)
c2658c39bd2bdf0484e2bc292882b090
Author(s)
Woo, Ram H. (Ram Han)
Advisor(s)
Timothy J. Hazen.
Date Issued
2005
Publisher
Massachusetts Institute of Technology
Abstract
This thesis explores the problem of robust speaker verification for handheld devices under the context of extremely limited training data. Although speaker verification technology is an area of great promise for security applications, the implementation of such a system on handheld devices presents its own unique challenges arising from the highly mobile nature of the devices. This work first independently analyzes the impact of a number of key factors, such as speech features, basic modeling techniques, as well as highly variable environmental/microphone conditions on speaker verification accuracy. We then present and evaluate methods for improving speaker verification robustness. In particular, we focus on normalization techniques, such as handset normalization (H-norm), zero normalization (Z-norm) as well as model training methodologies (multistyle training) to minimize the detrimental impact of highly variable environment and microphone conditions on speaker verification robustness.
Description
Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Includes bibliographical references (p. 77-78).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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