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- W1545867029 abstract "A new technique for speech signal processing called nonlinear resampling transformation (NRT) is proposed. The representation of a speech pattern derived from this technique has two important features: first, it reduces redundancy; second, it effectively removes the nonlinear variations of speech signals in time. The authors have applied NRT to the TI isolated-word database achieving a 99.66% recognition rate on a 10 digits multi-speaker task for a linear predictive neural net classifier. In their experiment, the authors have also found that discriminative training is superior to nondiscriminative training for linear predictive neural network classifiers. >" @default.
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- W1545867029 date "2002-12-09" @default.
- W1545867029 modified "2023-09-27" @default.
- W1545867029 title "Nonlinear resampling transformation for automatic speech recognition" @default.
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- W1545867029 doi "https://doi.org/10.1109/nnsp.1991.239510" @default.
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