Title
The MIT-LL/IBM 2006 Speaker Recognition System: High-Performance Reduced-Complexity Recognition
Abstract
Many powerful methods for speaker recognition have been introduced in recent years - high-level features, novel classifiers, and channel compensation methods. A common arena for evaluating these methods has been the NIST speaker recognition evaluation (SRE). In the NIST SRE from 2002-2005, a popular approach was to fuse multiple systems based upon cepstral features and different linguistic tiers of high-level features. With enough enrollment data, this approach produced dramatic error rate reductions and showed conceptually that better performance was attainable. A drawback in this approach is that many high-level systems were being run independently requiring significant computational complexity and resources. In 2006, MIT Lincoln Laboratory focused on a new system architecture which emphasized reduced complexity. This system was a carefully selected mixture of high-level techniques, new classifier methods, and novel channel compensation techniques. This new system has excellent accuracy and has substantially reduced complexity. The performance and computational aspects of the system are detailed on a NIST 2006 SRE task.
Year
DOI
Venue
2007
10.1109/ICASSP.2007.367202
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference
Keywords
Field
DocType
cepstral analysis,speaker recognition,speech processing,MIT-LL/IBM 2006,cepstral features,channel compensation techniques,dramatic error rate reductions,high-performance reduced-complexity recognition,linguistic tiers,speaker recognition system,speaker recognition,speech processing
Speech processing,Computer science,Word error rate,Speech recognition,Speaker recognition,NIST,Speaker diarisation,Systems architecture,Classifier (linguistics),Computational complexity theory
Conference
Volume
ISSN
ISBN
4
1520-6149
1-4244-0727-3
Citations 
PageRank 
References 
14
1.37
13
Authors
5
Name
Order
Citations
PageRank
William M. Campbell179970.38
Douglas E. Sturim289654.87
Wade Shen3137774.03
D. A. Reynolds47176641.65
Jiri Navratil531431.36