Exploration of small enrollment speaker verification on handheld devices

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.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2005

Author dc:creator

• Woo, Ram H. (Ram Han)

Advisor dc:contributor.advisor

• Timothy J. Hazen.

• Electrical Engineering and Computer Science.

Statement dc:rights

• 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.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/33380

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/33380