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ICASSP
2009
IEEE
14 years 3 months ago
Trajectory training considering global variance for HMM-based speech synthesis
This paper presents a novel method for training hidden Markov models (HMMs) for use in HMM-based speech synthesis. The primary goal of HMM parameter optimization is to ensure that...
Tomoki Toda, Steve Young
ICASSP
2008
IEEE
14 years 3 months ago
Distributed Kalman filtering based on quantized innovations
We consider state estimation of a Markov stochastic process using an ad hoc wireless sensor network (WSN) based on noisy linear observations. Due to power and bandwidth constraint...
Eric J. Msechu, Alejandro Ribeiro, Stergios I. Rou...
ICASSP
2008
IEEE
14 years 3 months ago
Extracting question/answer pairs in multi-party meetings
Understanding multi-party meetings involves tasks such as dialog act segmentation and tagging, action item extraction, and summarization. In this paper we introduce a new task for...
Andreas Kathol, Gökhan Tür
ICIP
2008
IEEE
14 years 3 months ago
A new theoretic framework for cross-layer optimization
Cross-layer optimization aims at improving the performance of network users operating in a time-varying, error-prone wireless environment. However, current solutions often rely on...
Fangwen Fu, Mihaela van der Schaar
AVSS
2006
IEEE
14 years 3 months ago
Human Face Reconstruction Using Bayesian Deformable Models
This paper presents a Bayesian framework for 3D facial reconstruction. The framework iteratively deforms a generic face mesh to fit a set of range points representing a face. The...
George Mamic, Clinton Fookes, Sridha Sridharan