How to pretend that correlated variables are independent by using difference observations

Neural Computation

Volumn 17, Issue 1, 2005, Pages 1-6

  Williams, Christopher K I ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; NORMAL DISTRIBUTION; SIGNAL PROCESSING; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; MODELS, STATISTICAL; NORMAL DISTRIBUTION; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 14544300108     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/0899766052530884     Document Type: Article

References (7)

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4. Furui, S. (1986). Speaker-independent isolated word recognition using dynamic features of speech spectrum. IEEE Transactions on Acoustics, Speech and Signal Processing, 34, 52-59.
5. Hinton, G. E. (1999). Products of experts. In Proceedings of the Ninth International Conference on Artificial Neural Networks (Vol. 1, pp. 1-6). London: IEE.
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7. Woodland, P. C. (1992). Hidden Markov models using vector linear prediction and discriminative output distributions. In Proceedings of 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing (Vol. I, pp. 509-512). Piscataway, NJ: IEEE.