We present a sequential Monte Carlo method applied to additive noise compensation for robust speech recognition in time-varying noise. The method generates a set of samples accord...
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...
In this paper we present a new approach for the automated mapping of formal descriptions into activity thread implementations. Our approach resolves semantic conflicts by reorderi...
This paper compares a deep and a shallow processing approach to the problem of classifying a sentence as grammatically wellformed or ill-formed. The deep processing approach uses ...
Joachim Wagner, Jennifer Foster, Josef van Genabit...
Recent years have seen the growing popularity of multi-rate wireless network devices (e.g., 802.11a cards) that can exploit variations in channel conditions and improve overall ne...
Zhengrong Ji, Yi Yang, Junlan Zhou, Mineo Takai, R...