Bispectrum analysis for speaker identification in noisy environment with Karhunen-Loeve transformation technique

Keyphrases

• Noisy Environment 100%
• Transformation Technique 100%
• Karhunen-Loeve Transformation 100%
• Bispectrum Features 100%
• Speaker Identification 100%
• Multispectral Analysis 100%
• Generation Algorithm 66%
• Codebook Generation 66%
• Adaptive Codebook 66%
• Dimensionality Reduction 33%
• Feature Extraction 33%
• Bispectrum 33%
• Learning Vector Quantization 33%
• Feature Learning 33%
• Extraction Mechanism 33%
• Number of Channels 33%
• Mechanism-based 33%
• High Dimension 33%
• Speech Data 33%
• Feature Data 33%
• Effective Procedure 33%
• Data Reduction 33%
• Feature Distribution 33%
• Speaker Recognition System 33%
• Cascade Configuration 33%
• Orthogonalization 33%
• Adaptive Feature Extraction 33%
• Self-organizing Feature Maps 33%
• Cascade Neural Network 33%
• Feature Dimension Reduction 33%
• Competitive Learning Network 33%

Engineering

• Dimensionality 100%
• Noisy Environment 100%
• Speaker Identification 100%
• Feature Extraction 66%
• Adaptive Codebook 66%
• Learning Vector Quantization 33%
• Speech Data 33%
• Limited Number 33%
• Orthogonalization 33%
• Data Reduction 33%