Probabilistic models for the transcription of single-voice melodies
Timo Viitaniemi · 2003
{viitanit, klap, eronen} @ cs.tut.fi A method is proposed for the automatic transcription of single-voice melodies from an acoustic waveform into a symbolic musical notation (a MIDI file). The system consists of a signal processing front-end which calculates a continuous pitch track and of a probabilistic model which converts the pitch track into a discrete musical notation. Our proposed probabilistic model consists of three parts operating in parallel: a pitch trajectory model, a musicological model, and a duration model. The first handles imperfections in the performed/estimated pitch values using a hidden Markov model, the second estimates musical key signature to improve the transcription accuracy, and the last models the duration of the notes.