NDLI: Recurrent neural network with both side input context dependence for text-to-phoneme mapping

Content Provider	IEEE Xplore Digital Library
Author	Bilcu, E.B. Astola, J. Saarinen, J.
Copyright Year	2004
Description	Author affiliation: Inst. of Signal Process., Tampere Univ. of Technol., Finland (Bilcu, E.B.; Astola, J.)
Abstract	Among many neural network architectures that exist in the literature, the recurrent neural networks (RNN's) are of special interest due to their ability to deal with spatial temporal problems. However, in an earlier published paper, the authors shown that RNN's have poor performance in terms of phoneme accuracy when applied to the specific problem of converting text streams into their phonetic transcriptions. This is due to the fact that RNN's contains a weak left side context dependence between letters and the right side context dependence is not included. In this paper, we study the behavior of RNN that includes the context information between adjacent letters at the input. The results in terms of phoneme accuracy, for the RNN with both side input context dependence, multilayer perception and RNN, in the context of text-to-phoneme mapping, are shown.
Sponsorship	IEEE IEEE Finland Section IEEE SP/CAS Chapter, Finland EURASIP UCSB Tampere Univ. of Technol. Ecole Superieure des Sciences et Techniques de Tunis, ESSTT, Univ. of Manouba
Starting Page	599
Ending Page	602
File Size	379287
Page Count	4
File Format	PDF
ISBN	0780383796
DOI	10.1109/ISCCSP.2004.1296463
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-03-21
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vocabulary Recurrent neural networks Neural networks Neurons Speech recognition Multilayer perceptrons Speech synthesis Speech processing Signal mapping Automatic speech recognition
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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