Real-time audio-to-score alignment of music performances containing errors and arbitrary repeats and skips

摘要

The primary contribution of this paper is the development and presentation of two hidden Markov models (HMM) that can follow a monophonic audio performance in real time and recognize arbitrary repeats/skips and other errors in a performance.