Correction to "On Automatic Plosive Identification Using Fuzziness in Property Sets"

The present paper is a continuation of our previous work [1] in vowel and speaker recognition and is an attempt to demonstrate the effectiveness of fuzzy algorithms developed for computer recognition of unaspirated plosives in CVC context. The maximum recognition score for voiced ranges from 60 percent for dentals to 85 percent for bilabials when the on-glide formant transitional data alone were considered as input. Variation in recognition score due to multiple applications ofthe operators CON, DIL, and INT is about 20-25 percent and becomes insignificant after optimum fuzziness is achieved.