Learning accurate finite-state structural models of words through the ECGI algorithm
作者： H. Rulot , N. Prieto , E. Vidal
DOI: 10.1109/ICASSP.1989.266509
关键词: Algorithm 、 Artificial intelligence 、 Finite state 、 Grammar induction 、 Vector quantization 、 Pattern recognition 、 Training set 、 Computer science
摘要: The ECGI (error correcting grammatical inference) algorithm is a recently introduced automatic learning method. authors present improvements to the and corresponding experiments test these improvements. results show ability of obtain structural models (isolated) words which enable very high speaker-independent recognition rate be achieved. >
sci-hub.se 参考文章(15)
H. Rulot, E. Vidal, An efficient algorithm for the inference of circuit-free automata Syntactic and structural pattern recognition. pp. 173- 184 ,(1988) , 10.1007/978-3-642-83462-2_11
Enrique Vidal, Pedro Garcia, Encarna Segarra, INDUCTIVE LEARNING OF FINITE-STATE TRANSDUCERS FOR THE INTERPRETATION OF UNIDIMENSIONAL OBJECTS WORLD SCIENTIFIC. pp. 17- 35 ,(1990) , 10.1142/9789814368292_0002
A. Smith, J. Denenberg, T. Slack, C. Tan, R. Wohlford, Application of a sequential pattern learning system to connected speech recognition international conference on acoustics, speech, and signal processing. ,vol. 10, pp. 1201- 1204 ,(1985) , 10.1109/ICASSP.1985.1168282
T. English, L. Boggess, A grammatical approach to reducing the statistical sparsity of language models in natural domains international conference on acoustics, speech, and signal processing. ,vol. 11, pp. 1141- 1144 ,(1986) , 10.1109/ICASSP.1986.1168955
Héctor Rulot, Enrique Vidal, Modelling (sub)string-length based constraints through a grammatical inference method Proc. of the NATO Advanced Study Institute on Pattern recognition theory and applications. pp. 451- 459 ,(1987) , 10.1007/978-3-642-83069-3_35
R. Nag, S. Austin, F. Fallside, Using hidden Markov models to define linguistic units international conference on acoustics, speech, and signal processing. ,vol. 11, pp. 2239- 2242 ,(1986) , 10.1109/ICASSP.1986.1168551
Kai-Fu Lee, Incremental network generation in word recognition international conference on acoustics, speech, and signal processing. ,vol. 11, pp. 77- 80 ,(1986) , 10.1109/ICASSP.1986.1169114
M.G. Thomason, E. Granum, R.E. Blake, Experiments in dynamic programming inference of Markov networks with strings representing speech data Pattern Recognition. ,vol. 19, pp. 343- 352 ,(1986) , 10.1016/0031-3203(86)90001-4
King-Sun Fu, Taylor L. Booth, Grammatical Inference: Introduction and Survey - Part I IEEE Transactions on Systems, Man, and Cybernetics. ,vol. SMC-5, pp. 95- 111 ,(1975) , 10.1109/TSMC.1975.5409159
Pedro Garcia, Enrique Vidal, Francisco Casacuberta, Local Languages, the Succesor Method, and a Step Towards a General Methodology for the Inference of Regular Grammars IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. PAMI-9, pp. 841- 845 ,(1987) , 10.1109/TPAMI.1987.4767991