The IIR submission to CSLP 2006 speaker recognition evaluation

Keyphrases

• Spectral Features 100%
• Speaker Recognition System 100%
• Speaker Recognition Evaluation 100%
• Speaker Information 100%
• Acoustics 50%
• Design Strategy 50%
• Discrete Cosine Transform 50%
• Modeling Techniques 50%
• Speech Recognition System 50%
• Gaussian Mixture Model 50%
• Support Vector Machine 50%
• Evaluation Results 50%
• Feature Selection 50%
• Classifier Design 50%
• Fusion Strategy 50%
• Model Vectors 50%
• Score Level 50%
• Multilayer Perceptron Neural Network (MLPNN) 50%
• Speech Dynamics 50%
• Speaker Modeling 50%
• Classifier Fusion 50%

Computer Science

• Speaker Recognition 100%
• Recognition System 60%
• Spectral Feature 40%
• Evaluation Result 20%
• Feature Selection 20%
• Classifier Design 20%
• Support Vector Machine 20%
• Neural Network 20%
• Multilayer Perceptron 20%
• Gaussian Mixture Model 20%
• Feature Extraction 20%
• Discrete Cosine Transform 20%