Formant detection through Instantaneous-Frequency estimation using Recursive Least Square algorithm

Formant frequencies, represented by major peaks in the spectrum, convey important information about speech. ''Instantaneous Frequency'' (IF) estimation is a methods to track formants. This paper proposes a method to detect the formants of voiced speech using a Recursive Least Square (RLS) algorithm. The method accuracy is assessed by comparing it with conventional formant detection techniques. The method is also analysed from the viewpoint of phonetic conformity using ''Temporal Decomposition''