This paper describes an enhanced parametric representation for all-pole models of speech useful for speech recognition. The enhanced parametric representation, mcl-frequency peak coefficients, utilizes the concepts of spectral peak weighting and mel-scale integration in the frequency domain. The speaker-dependent syllable recognition results show that mcl-frequency peak coefficients with the Euclidian distance measure offers improved performance in comparison to LPC and mel-cepstrum with root power sum distance measure.