DocumentCode
2329672
Title
Two neural network paradigms of phoneme transcription - a comparison
Author
Kristensen, Terje
Author_Institution
Dept. of Comput. Eng., Bergen Univ. Coll., Norway
Volume
4
fYear
2004
fDate
25-29 July 2004
Firstpage
3089
Abstract
In this work a multi layer perceptron (MLP) and a counterpropagation (CP) network for transcription of Norwegian text is presented. Both paradigms are described and compared. The corpus consists of about 50,000 Norwegian words and their transcriptions, developed by the Norwegian Telecom Research Centre. The transcription scheme used is Sampa for Norwegian. The performance for each network has been tested on about 10,000 unknown Norwegian words.
Keywords
backpropagation; character recognition; multilayer perceptrons; neural nets; speech recognition; Norwegian text; counterpropagation networks; multi layer perceptron; neural network; phoneme transcription; Artificial neural networks; Automatic speech recognition; Computer networks; Educational institutions; Electronic mail; Hidden Markov models; Neural networks; Speech synthesis; Telecommunications; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
Conference_Location
Budapest
ISSN
1098-7576
Print_ISBN
0-7803-8359-1
Type
conf
DOI
10.1109/IJCNN.2004.1381165
Filename
1381165
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