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Integrating Rasta-PLP into Speech Recognition

Authors:

Hans-Günter Hirsch, Joachim Köhler, Nelson Morgan, Hynek Hermansky, and Grace Tong

Book Title:

Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Volume:

1

Venue:

Adelaide, Australia

Date:

Apr. 1994

Pages:

421–424

Language:

English

Abstract

In previous work, we and others have shown that bandpass filtering of temporal trajectories of simple functions of the critical band spectrum can lead to more robust speech recognizers in the presence of additive and convolutional error. In this study we report results on several mechanisms for incorporating this analysis technique into training, in a way that is consistent with on-line approaches to speech recognition. In particular, we show improved robustness to these forms of degradation for a system that maps the filtered spectral points using a linear regression computed from results of the different transformations.

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