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ICASSP
2010
IEEE
13 years 10 months ago
Acoustic model adaptation via Linear Spline Interpolation for robust speech recognition
We recently proposed a new algorithm to perform acoustic model adaptation to noisy environments called Linear Spline Interpolation (LSI). In this method, the nonlinear relationshi...
Michael L. Seltzer, Alex Acero, Kaustubh Kalgaonka...
CDC
2009
IEEE
221views Control Systems» more  CDC 2009»
14 years 1 months ago
Parametrization invariant covariance quantification in identification of transfer functions for linear systems
This paper adresses the variance quantification problem for system identification based on the prediction error framework. The role of input and model class selection for the auto-...
Tzvetan Ivanov, Michel Gevers
EMNLP
2011
12 years 9 months ago
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
Michael Auli, Adam Lopez
CSDA
2006
145views more  CSDA 2006»
13 years 9 months ago
Improved predictions penalizing both slope and curvature in additive models
A new method is proposed to estimate the nonlinear functions in an additive regression model. Usually, these functions are estimated by penalized least squares, penalizing the cur...
Magne Aldrin
ICMCS
2006
IEEE
141views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Musical Onset Detection Based on Adaptive Linear Prediction
A new musical onset detection technique based on adaptive linear prediction theory is proposed in this work. We decompose a music signal into multiple sub-bands, and then apply a ...
Wan-Chi Lee, C. C. Jay Kuo