Tonic is a fundamental concept in makam. As in many world music cultures, tonic frequency varies among performances. Because of this, correct estimation of tonic frequency is important for other computational research problems like tuning analysis, audio-score alignment, automatic transcription etc.
In this work, we present a new methodology for automatic tonic estimation of Turkish makam music recordings. New methodology bases on the frequency estimation of the last note in a performance.