DocumentCode
339168
Title
Phoneme classification with multinets
Author
Reynolds, T. Jeff ; Pizzolato, Ednaldo B.
Author_Institution
Essex Univ., Colchester, UK
fYear
1998
fDate
1998
Firstpage
706
Abstract
The multinet phone classifier architecture is a framework for combining specialised phone detection networks into a posterior probability estimator for all phones. In this paper we give results obtained for the architecture on TIMIT phone classification tasks. We compare it with a standard mixture of Gaussian HMM classifiers
Keywords
parameter estimation; probability; speech recognition; TIMIT phone classification; automatic speech recognition; multinet phone classifier architecture; multinets; phoneme classification; posterior probability estimator; specialised phone detection networks; Automatic speech recognition; Detectors; Feature extraction; Gaussian processes; Hidden Markov models; Markov processes; Multi-layer neural network; Neural networks; Petroleum; Speech processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4325-5
Type
conf
DOI
10.1109/ICOSP.1998.770309
Filename
770309
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