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A model of dynamic auditory perception and its application to robust word recognition
1997
IEEE Transactions on Speech and Audio Processing
This paper describes two mechanisms that augment the common automatic speech recognition (ASR) front end and provide adaptation and isolation of local spectral peaks. A dynamic model consisting of a linear filterbank with a novel additive logarithmic adaptation stage after each filter output is proposed. An extensive series of perceptual forward masking experiments, together with previously reported forward masking data, determine the model's dynamic parameters. Once parameterized, the simple
doi:10.1109/89.622569
fatcat:kapj3wejjnhuvbzi324qr5vsmy