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Speech recognition by combining pairwise discriminant time-delay neural networks and predictive LR-parser

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3 Author(s)
Takami, J. ; ATR Interpreting Telephony Res. Labs., Kyoto, Japan ; Kai, A. ; Sagayama, S.

A phoneme recognition method using pairwise discriminant time-delay neural networks (PD-TDNNs) and a continuous speech recognition method using the PD-TDNNs are proposed. It is shown that classification-type neural networks have poor robustness against the difference in speaking rates between training data and testing data. To improve the robustness, the authors developed a phoneme recognition method using PD-TDNNs. This method has high performance owing to its particular mechanism, that is a majority decision by multiple less sharp discrimination boundaries. They tested these methods on both consonant recognition and phrase recognition, and obtained higher recognition performance compared with a conventional method using a single TDNN

Published in:

Neural Networks for Signal Processing [1991]., Proceedings of the 1991 IEEE Workshop

Date of Conference:

30 Sep-1 Oct 1991