iComper (interactive Comper) is an interactive Jazz accompaniment system which understands various soloist’s intention when he or she improvises. In this thesis, we propose an HMM-based musical sign detector to bridge accompanist’s realization when listening to music and intention given by the improviser. We apply music theory to our feature extractors on improviser’s melody and map features to observations. The detector gives the highest-probability state using the observation sequence from the start of a tune to the current measure. A re-drum algorithm is proposed to combine the chosen percussion patterns and the volume pattern to generate accompaniment.

2009

English