Mehdi Fartash

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In this paper, we propose a new type of feature extraction method inspired by the model of auditory cortical processing. The output of the cortical model is a 4-D spectro-temporal representation of the sound that each point of this space indicates the amount of energy at the corresponding time, frequency, rate and scale. In the proposed model, one proper(More)
Recently, there has been a significant increase in studies employing auditory models in speech recognition systems. In this paper, we propose a new evolutionary tuned feature extraction method by spectro-temporal analysis. In our proposed model, there is a special subspace for each phoneme with a specific best scale in the spectral filter and a specific(More)
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