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» On the Entropy of a Hidden Markov Process
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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
ICA
2007
Springer
14 years 11 days ago
Infinite Sparse Factor Analysis and Infinite Independent Components Analysis
Abstract. A nonparametric Bayesian extension of Independent Components Analysis (ICA) is proposed where observed data Y is modelled as a linear superposition, G, of a potentially i...
David Knowles, Zoubin Ghahramani
ICIP
2005
IEEE
14 years 10 months ago
A man-machine communication system based on the visual analysis of dynamic gestures
A perceptual human-machine interface based on visual appearence of hand movements is presented. Gestures are defined as the temporal evolution of 3D poses the of user's hand....
Giulia Gastaldi, Alessandro Pareschi, Silvio P. Sa...
FLAIRS
2004
13 years 10 months ago
Semi-Supervised Sequence Classification with HMMs
Using unlabeled data to help supervised learning has become an increasingly attractive methodology and proven to be effective in many applications. This paper applies semi-supervi...
Shi Zhong
ICASSP
2010
IEEE
13 years 3 months ago
Unsupervised knowledge acquisition for Extracting Named Entities from speech
This paper presents a Named Entity Recognition (NER) method dedicated to process speech transcriptions. The main principle behind this method is to collect in an unsupervised way ...
Frédéric Béchet, Eric Charton