Local projection (LP) has been widely used to enhance speech by transforming noisy speech into two orthogonal subspaces: noise (S1) and signal plus small amount of noise (S2) subspace. S1 is removed and S2 is transformed into time domain resulting in the enhanced speech. Satisfactory results with significantly improved speech quality have been reported by several works although the processing time was not taken into account. Four parameters to be considered are embedding dimension (d), time delay (x), numbers of iteration, and minimal embedding dimension. Speech quality is increased by the increase of d-parameter resulting in decrease of x-parameter value (d x kept constant) and the dramatic increase of the processing time. The goal is to come up with the best d x parameter for each iteration, while speech quality remains almost unaffected. Rather than using a fixed d x parameter, a dynamic approach is taken. Specifically, x is initially set to 1 and incremented by 1 for next iteration. The experimental results tested on Thai initial rhyming words corrupted by three noise types (white, car, and street) each at SNR levels of 10, 5, 0, -5dB showed that the proposed method significantly reduced the processing time for white noise by 38% (p<0.01). © 2013 Acoustical Society of America.