Combining novel acoustic features using SVM to detect speaker changing points

Keyphrases

• Acoustic Features 100%
• Change Point Detection 100%
• Changing Points 100%
• Speaker Change 100%
• Speech Signal 66%
• Mel Frequency Cepstral Coefficient Features 66%
• Low Dimensionality 33%
• Detection Accuracy 33%
• SVM Classifier 33%
• Speaker Recognition System 33%
• Mel Frequency Cepstral Coefficients 33%
• Combination Scheme 33%
• Linear Prediction Cepstral Coefficients 33%
• Point Detection 33%
• Verification Problem 33%
• Speaker Characteristics 33%
• Speaker Verification 33%
• Speech Content 33%
• Continuous Speech 33%
• Coefficient Prediction 33%
• Recording Device 33%
• Environment Type 33%

Computer Science

• Support Vector Machine 100%
• Point Detection 100%
• Acoustic Feature 100%
• Mel Frequency Cepstral Coefficient 75%
• Recognition System 25%
• Conference Paper 25%
• Speaker Recognition 25%
• Detection Accuracy 25%
• Speaker Verification 25%
• Cepstral Coefficient 25%
• Recording Device 25%