2026-09-20T02:48:30Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/333802026-06-06T01:04:31Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Timothy J. Hazen.
Woo, Ram H. (Ram Han)
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2006-07-13T15:19:38Z
2006-07-13T15:19:38Z
2005
2005
http://hdl.handle.net/1721.1/33380
62558712
Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Includes bibliographical references (p. 77-78).
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.
by Ram H. Woo.
M.Eng.
S.B.
78 p.
2661326 bytes
2664508 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Exploration of small enrollment speaker verification on handheld devices
Thesis
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