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COLING
2010
14 years 6 months ago
Fast, Greedy Model Minimization for Unsupervised Tagging
Model minimization has been shown to work well for the task of unsupervised part-of-speech tagging with a dictionary. In (Ravi and Knight, 2009), the authors invoke an integer pro...
Sujith Ravi, Ashish Vaswani, Kevin Knight, David C...
INFORMATICALT
2011
112views more  INFORMATICALT 2011»
14 years 6 months ago
The Minimum Density Power Divergence Approach in Building Robust Regression Models
It is well known that in situations involving the study of large datasets where influential observations or outliers maybe present, regression models based on the Maximum Likeliho...
Alessandra Durio, Ennio Davide Isaia
CISS
2011
IEEE
14 years 2 months ago
Improving aggregated forecasts of probability
—The Coherent Approximation Principle (CAP) is a method for aggregating forecasts of probability from a group of judges by enforcing coherence with minimal adjustment. This paper...
Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poo...
ICASSP
2011
IEEE
14 years 2 months ago
Using F0 to constrain the unit selection Viterbi network
The goal of the work described here is to limit the computation needed in unit selection Viterbi search for text-to-speech synthesis. The broader goal is to improve speech quality...
Alistair Conkie, Ann K. Syrdal
ICASSP
2011
IEEE
14 years 2 months ago
Study of robustness of zero frequency resonator method for extraction of fundamental frequency
The objective of this work is to develop and study the robustness of the zero frequency resonator (ZFR) based method for extraction of the fundamental frequency (F0) of speech sig...
Bayya Yegnanarayana, S. R. Mahadeva Prasanna, S. G...