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» A hierarchical point process model for speech recognition
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CVPR
2010
IEEE
15 years 5 months ago
Scale-Hierarchical 3D Object Recognition in Cluttered Scenes
3D object recognition in scenes with occlusion and clutter is a difficult task. In this paper, we introduce a method that exploits the geometric scale-variability to aid in this ...
Prabin Bariya, Ko Nishino
INFORMATICALT
2010
151views more  INFORMATICALT 2010»
14 years 8 months ago
The Use of Group Delay Features of Linear Prediction Model for Speaker Recognition
Abstract. New text independent speaker identification method is presented. Phase spectrum of allpole linear prediction (LP) model is used to derive the speech features. The featur...
Algirdas Bastys, Andrej Kisel, Bernardas Salna
ICIAP
2001
Springer
15 years 10 months ago
Lip Detection and Tracking
We present a model for the lips using the Active Shape Model (ASM) based on B?ezier Curves which can capture the dynamics of the lips efficiently. The curves are defined only by a...
Alice Caplier
ACL
1997
14 years 11 months ago
Approximating Context-Free Grammars with a Finite-State Calculus
Although adequate models of human language for syntactic analysis and semantic interpretation are of at least contextfree complexity, for applications such as speech processing in...
Edmund Grimley-Evans
ICASSP
2008
IEEE
15 years 4 months ago
Corrected tandem features for acoustic model training
This paper describes a simple method for significantly improving Tandem features used to train acoustic models for large-vocabulary speech recognition. The linear activations at ...
Arlo Faria, Nelson Morgan