JOURNAL ARTICLE

Recurrent neural networks for phoneme recognition

Abstract

This paper deals with recurrent neural networks of multilayer perceptron type which are well-suited for speech recognition, specially for phoneme recognition. The ability of these networks has been investigated by phoneme recognition experiments using a number of Japanese words uttered by a native male speaker in a quiet environment. Results of the experiments show that recognition rates achieved with these networks are higher than those obtained with conventional non-recurrent neural networks.

Keywords:
Computer science Speech recognition Recurrent neural network Artificial neural network Time delay neural network Artificial intelligence

Metrics

23
Cited By
2.23
FWCI (Field Weighted Citation Impact)
3
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Speech Recognition and Synthesis
Physical Sciences →  Computer Science →  Artificial Intelligence

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