A robust technique for harmonic analysis of speech

A technique named Least Squares Harmonic (LSH) is proposed for speech decomposition. The problem of harmonic estimation for speech is formulated as a solution to two sets of linear equations derived from minimising the Mean Squared Error between original and estimated signals. The algorithm assumes that a good initial estimate of the pitch period is available. The performance of the algorithm is comparable to that of the Total Least Square Prony method (TLSP) at high Signal-to-Noise ratios, however, at very low SNR, the proposed algorithm leads to a much more accurate harmonic representation. The approach used here has a great potential in coding and recognition applications.