Andrew O. Hatch
Contact information:
The International Computer Science Institute
1947 Center Street, Suite 600
Berkeley, CA 94704
a o h a t c h AT_SYMBOL g m a i l PERIOD c o m
Until recently, I was a post-doctoral researcher at the International
Computer Science Institute (ICSI) in Berkeley, California. My research
at ICSI focused on machine learning
techniques for speech and speaker recognition, with an emphasis on kernel
methods and support vector machines (SVMs). In July of 2007,
I took a position as a research scientist at the Lawrence
Livermore National Lab (LLNL). My research at LLNL is currently
focused on applying particle filters to road tracking problems.
Publications
- A Generalized Support Vector Machine for Modeling Clustered
Data. A. Hatch., technical report, June 2006.
[.pdf ]
- Kernel Optimization for Support Vector Machines: Application
to Speaker Verification. A. Hatch. Ph.D. Thesis, Department
of Electrical Engineering and Computer Sciences (EECS), The
University of California, Berkeley, December, 2006.
[.pdf ]
- Within-Class Covariance Normalization for SVM-based Speaker
Recognition. A. Hatch, S. Kajarekar, and A. Stolcke.
proceedings of ICSLP, 2006.
[.pdf ]
- Adaptive Linear Kernels for Binary Classification of
Multiclass Data. A. Hatch and
A. Stolcke. submitted to ICML, 2006.
[.pdf ]
- Generalized Linear Kernels for One-Versus-All Classification:
Application to Speaker Recognition. A. Hatch and
A. Stolcke. proceedings of ICASSP, 2006.
[.pdf ]
- Combining Feature Sets with Support Vector Machines:
Application to Speaker Recognition. A. Hatch,
A. Stolcke and B. Peskin. proceedings of ASRU, 2005.
[.pdf ]
- ICSI's 2005 Speaker Recognition System. N. Mirghafori,
A. Hatch, S. Stafford, K. Boakye, D. Gillick, and B. Peskin.
proceedings of ASRU, 2005.
[.pdf ]
- Improved Phonetic Speaker Recognition Using
Lattice Decoding. A. Hatch,
B. Peskin, and A. Stolcke. proceedings of ICASSP, 2005.
[.pdf ]