Word recognition in the car-speech enhancement/spectral transformations

Speech enhancement through Kalman filtering is compared to environment adaptation using spectral transformations. Important results on general characteristics of speech in noise and a possible correction to the Lombard effect are reported. It is shown that traditional speech enhancement offers little improvement to recognition. Best results are obtained with transformations applied to the reference models.<<ETX>>

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