TalkPrinting: Using Advanced and Stylistic Features for Speaker ID
Abstract:
Speaker recognition has seen significant new developments in recent
years, as reflected by the performance of the systems at the NIST
Speaker Recognition Evaluations (SRE) of the past few years. In this
talk, I will give a brief overview of the current state-of-the-art then
describe our approach, /TalkPrinting/, that involves a rich stylistic
representation in addition to several novel acoustic ones. SRI's
/TalkPrinting/ systems has been the top performing system in 2004 and
2005 at NIST SREs. It involves seven subsystems that account for
speaker variation at different scales. I will introduce each system and
also talk about system combination and describe statistical techniques
for measuring and optimizing the final performance. Time permitting, I
will also briefly show SRI-Speaker Recognition Dashboard, a SRE system
browser that highlights how combination of stylistic and acoustic
features helps by displaying intermediate features and models as well
as the final scoring in a verification system.
Short Bio:
Kemal Sönmez received his Ph.D.in Electrical Engineering from the
University of Maryland College Park in 1998. He joined the Speech
Technology and Research (STAR) Laboratory of SRI International (former
Stanford Research Institute) in 1996 and has been a senior research
engineer at SRI since 2001. He has been PI or key technical member on
several speech and speaker recognition, and biocomputation programs,
including DARPA programs ROAR, EARS, GALE, BioCOMP, and NSF program
KDD, as well as, more recently, several NIH funded projects in
computational biology. He was a member of the Institute for Mathematics
and its Applications (IMA) Fall 2000 Workshop on Mathematical
Foundations of Speech Processing and Recognition at the University of
Minnesota, a visiting research scholar at the Division of Applied
Mathematics and Center for Computational Molecular Biology at Brown
University in Providence during the Spring 2004 semester, and a senior
member of the landmark based speech recognition team at the 2004 Center
for Language and Speech Processing summer workshop at Johns Hopkins
University in Baltimore. In addition to topics in speech and language
processing, his research interests include statistical modeling of
evolution in genomic sequences, signal transduction models, discovery
of orphan GPCR ligands, pathway models, and building integrated models
for systems biology. He was the proposal manager and a system architect
for SRI-UC Berkeley consortium for BioSPICE, an open source systems
biology platform supported by DARPA and managed by SRI.
SRI International'dan Kemal Sönmez 20 Aralık 2006'da yani öbür gün Boğaziçi Elektrik Elektronik Mühendisliği binasındaki "EE Lounge"da saat 15:00 - 16:30 arasında konuşma ve konuşmacı tanıma konusunda bir seminer verecek. Konuşmanın İngilizce özeti haberin devamındadır...
