A proposed decision rule for speaker identification based on a posteriori probability

Keyphrases

• Maximum Likelihood Method 100%
• Posteriori Probability 100%
• Speaker Identification 100%
• Normalized Likelihood 100%
• Maximum Likelihood 50%
• Speaker Recognition 50%
• Vector Quantization 50%
• Gaussian Mixture Model 50%
• Alternative Decisions 50%
• Speaker Model 50%
• Acoustic Vectors 50%
• Model Quantization 50%

Computer Science

• maximum-likelihood 100%
• Posteriori Probability 100%
• Speaker Identification 100%
• Experimental Result 33%
• Vector Quantization 33%
• Gaussian Mixture Model 33%
• Speaker Recognition 33%
• Decision Alternative 33%