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» Combining Multiple Models for Speech Information Retrieval
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IADIS
2003
15 years 1 months ago
Using Combined Markov Chains to Predict WWW Navigation Paths
The Internet network provides access to several hundreds of million sites and expands at a rate of a million pages a day. Yet, given the rapid and anarchical nature of its evoluti...
Y. Hafri
ICASSP
2010
IEEE
15 years 15 hour ago
Boosted binary features for noise-robust speaker verification
The standard approach to speaker verification is to extract cepstral features from the speech spectrum and model them by generative or discriminative techniques. We propose a nov...
Anindya Roy, Mathew Magimai-Doss, Sébastien...
ECCV
2008
Springer
16 years 1 months ago
Multiple Tree Models for Occlusion and Spatial Constraints in Human Pose Estimation
Abstract. Tree-structured models have been widely used for human pose estimation, in either 2D or 3D. While such models allow efficient learning and inference, they fail to capture...
Greg Mori, Yang Wang 0003
AAAI
1998
15 years 1 months ago
Handling Inconsistency for Multi-Source Integration
The overwhelming amount of information sources now available through the internet has increased the need to combine or integrate the data retrieved from these sources in an intell...
Sheila Tejada, Craig A. Knoblock, Steven Minton
ICMCS
2006
IEEE
129views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Speaker Identification using a Microphone Array and a Joint HMM with Speech Spectrum and Angle of Arrival
In this paper, we present a speaker identification algorithm for a microphone array based on a first-order joint Hidden Markov Model (HMM) where the observations correspond to t...
Jack W. Stokes, John C. Platt, Sumit Basu