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GRAPHICSINTERFACE
2004
13 years 9 months ago
Segmenting Motion Capture Data into Distinct Behaviors
Much of the motion capture data used in animations, commercials, and video games is carefully segmented into distinct motions either at the time of capture or by hand after the ca...
Jernej Barbic, Alla Safonova, Jia-Yu Pan, Christos...
ICASSP
2010
IEEE
13 years 8 months ago
HMM-based separation of acoustic transfer function for single-channel sound source localization
This paper presents a sound source (talker) localization method using only a single microphone, where a HMM (Hidden Markov Model) of clean speech is introduced to estimate the aco...
Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki
CSL
2010
Springer
13 years 7 months ago
Monaural speech separation based on MAXVQ and CASA for robust speech recognition
Robustness is one of the most important topics for automatic speech recognition (ASR) in practical applications. Monaural speech separation based on computational auditory scene a...
Peng Li, Yong Guan, Shijin Wang, Bo Xu, Wenju Liu
JFR
2006
88views more  JFR 2006»
13 years 7 months ago
Discovering natural kinds of robot sensory experiences in unstructured environments
We derive categories directly from robot sensor data to address the symbol grounding problem. Unlike model-based approaches where human intuitive correspondences are sought betwee...
Daniel H. Grollman, Odest Chadwicke Jenkins, Frank...
TFS
2008
174views more  TFS 2008»
13 years 7 months ago
Type-2 Fuzzy Markov Random Fields and Their Application to Handwritten Chinese Character Recognition
In this paper, we integrate type-2 (T2) fuzzy sets with Markov random fields (MRFs) referred to as T2 FMRFs, which may handle both fuzziness and randomness in the structural patter...
Jia Zeng, Zhi-Qiang Liu