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ICASSP
2011
IEEE
12 years 11 months ago
Very low bit-rate F0 coding for phonetic vocoder using MSD-HMM with quantized F0 context
This paper presents a very low bit-rate F0 coding technique for speaker-dependent phonetic vocoder based on hidden Markov model (HMM) using quantized F0 context. In the proposed t...
Takashi Nose, Takao Kobayashi
CVPR
2000
IEEE
14 years 10 months ago
Representation and Recognition of Complex Human Motion
The quest for a vision system capable of representing and recognizing arbitrary motions benefits from a low dimensional, non-specific representation of flow fields, to be used in ...
Jesse Hoey, James J. Little
ICMCS
2005
IEEE
113views Multimedia» more  ICMCS 2005»
14 years 1 months ago
HMM-Based Deception Recognition from Visual Cues
Behavioral indicators of deception and behavioral state are extremely difficult for humans to analyze. This research effort attempts to leverage automated systems to augment human...
Gabriel Tsechpenakis, Dimitris N. Metaxas, Mark Ad...
CLEAR
2006
Springer
199views Biometrics» more  CLEAR 2006»
13 years 11 months ago
Head Pose Tracking and Focus of Attention Recognition Algorithms in Meeting Rooms
Abstract. The paper presents an evaluation of both head pose and visual focus of attention (VFOA) estimation algorithms in a meeting room environment. Head orientation is estimated...
Sileye O. Ba, Jean-Marc Odobez
CDC
2008
IEEE
14 years 2 months ago
Shannon meets Bellman: Feature based Markovian models for detection and optimization
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
Sean P. Meyn, George Mathew