alexa Magnitude replacement of real and imaginary modulation spectrum of acoustic spectrograms for noise-robust speech recognition
Agri and Aquaculture

Agri and Aquaculture

Journal of Marine Science: Research & Development

Author(s): HsinJu Hsieh, Jeihweih Hung

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In this paper, a novel method is proposed to enhance the complex-valued acoustic spectrograms of speech signals via replacing the magnitude part of the corresponding modulation spectrum in order to create noise-robust feature representation for recognition. All the evaluation experiments implemented on the Aurora-2 digit database and task show that the presented method performs better than the baseline MFCC and several well-known noise-robust techniques. These results apparently reveal that this novel method alleviates the effect of noise in speech features significantly.

This article was published in IEEE and referenced in Journal of Marine Science: Research & Development

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