A DTW-based probability model for speaker feature analysis and data mining

Pattern Recognition Letters

Volumn 23, Issue 11, 2002, Pages 1271-1276

  Liu, Jingwei ^a   Cheng, Qiansheng ^a   Zheng, Zhongguo ^a   Qian, Minping ^a  

^a PEKING UNIVERSITY   (China)

Author keywords

Data mining; DTW; Feature selection; Speaker identification; Statistical learning

Indexed keywords

DATA MINING; MATHEMATICAL MODELS; PROBABILITY; STATISTICAL METHODS;

PROBABILISTIC FEATURE ANALYSIS;

FEATURE EXTRACTION;

PATTERN RECOGNITION;

EID: 0036722013     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(02)00068-5     Document Type: Article

References (20)

1. Speaker recognition: A tutorial
2. Optimizing feature set for speaker verification
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4. Research on individuality features in speech waves and automatic speaker recognition techniques
5. Recent advances in the speaker recognition
6. Unsupervised feature selection using a neuro-fuzzy approach
7. On the use of bandpass liftering in speech recognition
8. On the importance of components of various moidulation frequencies for speech recognition
9. Feature selection for a DTW-based speaker verification system
10. Selective partition algorithm for finding regions of maximum pairwise dissimilarity among statistical class models
11. Selection of acoustic features for speaker identification
12. Speaker recognition using orthogonal linear prediction
13. A modified K-means clustering algorithm for use in isolated word recognition