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» Hilbert Space Embeddings of Hidden Markov Models
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NAACL
2003
14 years 11 months ago
Implicit Trajectory Modeling through Gaussian Transition Models for Speech Recognition
It is well known that frame independence assumption is a fundamental limitation of current HMM based speech recognition systems. By treating each speech frame independently, HMMs ...
Hua Yu, Tanja Schultz
ICMCS
2007
IEEE
208views Multimedia» more  ICMCS 2007»
15 years 1 months ago
A Cognitive and Unsupervised Map Adaptation Approach to the Recognition of the Focus of Attention from Head Pose
In this paper, the recognition of the visual focus of attention (VFOA) of meeting participants (as defined by their eye gaze direction) from their head pose is addressed. To this ...
Jean-Marc Odobez, Sileye O. Ba
82
Voted
CSL
2010
Springer
14 years 9 months ago
Speech separation using speaker-adapted eigenvoice speech models
We present a system for model-based source separation for use on single channel speech mixtures where the precise source characteristics are not known a priori. The sources are mo...
Ron J. Weiss, Daniel P. W. Ellis
80
Voted
CSL
2007
Springer
14 years 9 months ago
Discriminative semi-parametric trajectory model for speech recognition
Hidden Markov Models (HMMs) are the most commonly used acoustic model for speech recognition. In HMMs, the probability of successive observations is assumed independent given the ...
K. C. Sim, M. J. F. Gales
ICRA
2003
IEEE
131views Robotics» more  ICRA 2003»
15 years 3 months ago
Sky/ground modeling for autonomous MAV flight
Abstract— Recently, we have implemented a computervision based horizon-tracking algorithm for flight stability and autonomy in Micro Air Vehicles (MAVs) [1]. Occasionally, this ...
Sinisa Todorovic, Michael C. Nechyba, Peter G. Ifj...