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» Factorial Hidden Markov Models for Gait Recognition
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CSL
2007
Springer
13 years 7 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
ICASSP
2011
IEEE
12 years 11 months ago
An investigation of subspace modeling for phonetic and speaker variability in automatic speech recognition
This paper investigates the impact of subspace based techniques for acoustic modeling in automatic speech recognition (ASR). There are many well known approaches to subspace based...
Richard C. Rose, Shou-Chun Yin, Yun Tang
AR
2011
13 years 2 months ago
Learning, Generation and Recognition of Motions by Reference-Point-Dependent Probabilistic Models
This paper presents a novel method for learning object manipulation such as rotating an object or placing one object on another. In this method, motions are learned using referenc...
Komei Sugiura, Naoto Iwahashi, Hideki Kashioka, Sa...
MIR
2006
ACM
220views Multimedia» more  MIR 2006»
14 years 1 months ago
Robust scene recognition using language models for scene contexts
We propose a robust scene recognition framework using scene context information for multimedia contents. Multimedia contents consist of scene sequences that are more likely to hap...
Ryoichi Ando, Koichi Shinoda, Sadaoki Furui, Takah...
ICDAR
2009
IEEE
13 years 5 months ago
Stochastic Segment Modeling for Offline Handwriting Recognition
In this paper, we present a novel approach for incorporating structural information into the hidden Markov Modeling (HMM) framework for offline handwriting recognition. Traditiona...
Premkumar Natarajan, Krishna Subramanian, Anurag B...