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- W1845583985 abstract "A neural-network approach to the learning of invariant spectral features in cerebral-palsied speech is introduced. The technique is a hybrid conventional digital signal processing/neural network strategy. The objective at this stage is to learn features of nonverbal speech, and to do so in a manner which is robust to the abnormalities of such speech and which is minimally dependent on a priori modeling or parameterization. Thus, it is hoped that these features will be useful as input to a higher-level word recognizer. >" @default.
- W1845583985 created "2016-06-24" @default.
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- W1845583985 date "2003-01-06" @default.
- W1845583985 modified "2023-09-27" @default.
- W1845583985 title "Neural network learning of spectral features of nonverbal speech" @default.
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- W1845583985 doi "https://doi.org/10.1109/nebc.1988.19339" @default.
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