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This study investigates the effects of using different external and middle ear models as the preemphasis filter for speech recognition. We find that an external anti middle ear model derived from physiological data of human auditory systems gives the highest recognition rate. This auditory based preemphasis filter also gives good a recognition rate for the consonant sounds (fricatives, stops, liquids and diphthongs).

The Effect of External and Middle Ear Filtering on Automatic Phoneme Recognition