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» Automatic Understanding of Signals
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ISMIR
2004
Springer
110views Music» more  ISMIR 2004»
14 years 28 days ago
Automatic Detection Of Vocal Segments In Popular Songs
This paper presents a technique for the automatic classification of vocal and non-vocal regions in an acoustic musical signal. The proposed technique uses acoustic features which ...
Tin Lay Nwe, Ye Wang
PR
2008
124views more  PR 2008»
13 years 7 months ago
A daily behavior enabled hidden Markov model for human behavior understanding
This paper presents a Hierarchical Context Hidden Markov Model (HC-HMM) for behavior understanding from video streams in a nursing center. The proposed HC-HMM infers elderly behav...
Pau-Choo Chung, Chin-De Liu
CHI
2011
ACM
12 years 11 months ago
No clicks, no problem: using cursor movements to understand and improve search
Understanding how people interact with search engines is important in improving search quality. Web search engines typically analyze queries and clicked results, but these actions...
Jeff Huang, Ryen W. White, Susan T. Dumais
ICMCS
2005
IEEE
133views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Multi-sensory speech processing: incorporating automatically extracted hidden dynamic information
We describe a novel technique for multi-sensory speech processing for enhancing noisy speech and for improved noiserobust speech recognition. Both air- and bone-conductive microph...
Amarnag Subramanya, Li Deng, Zicheng Liu, Zhengyou...
IUI
2010
ACM
14 years 2 months ago
Intelligent understanding of handwritten geometry theorem proving
Computer-based geometry systems have been widely used for teaching and learning, but largely based on mouse-andkeyboard interaction, these systems usually require users to draw fi...
Yingying Jiang, Feng Tian, Hongan Wang, Xiaolong Z...