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Learning multi-boosted HMMs for lip-password based speaker verification
Xin Liu,
Yiu Ming CHEUNG
Department of Computer Science
Research output
:
Contribution to journal
›
Journal article
›
peer-review
39
Citations (Scopus)
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Dive into the research topics of 'Learning multi-boosted HMMs for lip-password based speaker verification'. Together they form a unique fingerprint.
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Keyphrases
Password-based
100%
Lip Motion
100%
Speaker Verification
100%
Lip Password
100%
Target Speaker
50%
Segmentation Algorithm
25%
State-of-the-art Techniques
25%
Learning Framework
25%
Discrimination Power
25%
Hidden Markov Model
25%
Learning Approaches
25%
Small Sets
25%
Lip Movement
25%
Visual Features
25%
Model Learning
25%
Method Sharing
25%
Boosting Learning
25%
Random Subspace Method
25%
Motion Segmentation
25%
Verification Result
25%
Impostor
25%
Data Sharing Policy
25%
Decision Boundary
25%
Speaker Recognition System
25%
Behavioral Biometrics
25%
Computer Science
Speaker Verification
100%
Password
100%
Experimental Result
11%
Learning Framework
11%
Data Sharing
11%
segmentation algorithm
11%
Biometrics
11%
Learning Approach
11%
Verification System
11%
Visual Feature
11%
Subspace Method
11%
Motion Segmentation
11%
Decision Boundary
11%
Password Information
11%