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» Melody Spotting Using Hidden Markov Models
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CSL
2007
Springer
15 years 4 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
IJCAI
2003
15 years 5 months ago
A Learning-Based Jam Session System that Imitates a Player's Personality Model
This paper describes a jam session system that enables a human player to interplay with virtual players which can imitate the player personality models of various human players. P...
Masatoshi Hamanaka, Masataka Goto, Hideki Asoh, No...
ICPR
2006
IEEE
16 years 5 months ago
Unusual Event Detection via Multi-camera Video Mining
This paper describes a framework for detecting unusual events in surveillance videos. Most surveillance systems consist of multiple video streams, but traditional event detection ...
Hanning Zhou, Don Kimber
ICASSP
2008
IEEE
15 years 10 months ago
Exploiting contextual information for improved phoneme recognition
In this paper, we investigate the significance of contextual information in a phoneme recognition system using the hidden Markov model - artificial neural network paradigm. Cont...
Joel Pinto, B. Yegnanarayana, Hynek Hermansky, Mat...
ICMCS
2006
IEEE
197views Multimedia» more  ICMCS 2006»
15 years 10 months ago
Identify Sports Video Shots with "Happy" or "Sad" Emotions
Semantic video content extraction and selection are critical steps in sports video analysis and editing. The identification of video segments can be from various semantic perspec...
Jinjun Wang, Engsiong Chng, Changsheng Xu, Hanqing...