Hierachical methods for large population speaker identification using telephone speech

This study focuses on speaker identificat ion. Several problems such as acoustic noise, channel noise, speaker variability, large population of known group of speakers wi thin the system and many others limit good SiD performance. The SiD system extracts speaker specific features from digitised speech signa] for accurate identification. These feature sets are clustered to form the speaker template known as a speaker model. As the number of speakers enrolling into the system gets larger, more models accumulate and the interspeaker confusion results. This study proposes the hierarchical methods which aim to split the large population of enrolled speakers into smaller groups of model databases for minimising interspeaker confusion.

Grantor dc:publisher.institution

Department of Electrical Engineering

Year dc:date.issued

2003

Author dc:creator

• Lerato, Lerato

Advisor dc:contributor.advisor

• Mashao, Dije

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/11427/5185

OAI identifier oai:identifier

oai:open.uct.ac.za:11427/5185