OSLP: A new technique in linear prediction of speech

Odd Sample Linear Prediction (OSLP) is a relatively new and efficient technique for analysis/synthesis of speech signals. OSLP, first described in a conference paper [1], is based on the classical theory of linear prediction [1-13,18-23,26,27], The performance of OSLP was further improved by the author and has been reported in a recent conference paper [2]. Pitch detection constitutes an important component of this technique. In the work reported so far [1,2], the SIFT algorithm, due to Markel and Grey [17,6,10-13,20], was used for pitch detection mainly because SIFT is also based on the classical theory of linear prediction. However, many, virtually dozens of, pitch detection algorithms have been reported in literature [6-13,17,19-21,24,25], In the work reported in this paper, pitch detection algorithms, other than SIFT, were employed to investigate if the overall performance of OSLP can be further improved.