The common vector approach and its relation to principal component analysis

IEEE Transactions on Speech and Audio Processing

Volumn 9, Issue 6, 2001, Pages 655-662

  Bilginer Gulmezoglu M ^b   Dzhafarov, Vakif ^c   Barkana, Atalay ^a,b  

^a IEEE

^b ESKISEHIR OSMANGAZI UNIVERSITY   (Turkey)

^c ANADOLU UNIVERSITY   (Turkey)

Author keywords

Common vector approach; Speech recognition; Subspace methods

Indexed keywords

FEATURE EXTRACTION; MATRIX ALGEBRA; PRINCIPAL COMPONENT ANALYSIS; VECTORS;

COMMON VECTOR APPROACH;

SPEECH RECOGNITION;

EID: 0035440011     PISSN: 10636676     EISSN: None     Source Type: Journal    
DOI: 10.1109/89.943343     Document Type: Article

References (14)

1. A novel approach to isolated word recognition
2. Isolated word recognition by extracting personal differences
3. Frame-specific statistical features for speaker independent speech recognition
4. Evaluation and selection of variables in pattern recognition
5. Spectral classification of phonemes by learning subspaces
6. A thousand-word recognition system based on the learning subspace method and redundant hash addressing
7. On-line recognition of spoken words from a large vocabulary