Demand for music databases is increasing for the studies of musicology and music informatics. Our goal is to construct databases that contain deviations of tempo, and dynamics, start-timing, and duration of each note. This paper describes a procedure based on hybrid use of DP Matching and HMM that efficiently extracts deviations from MIDI-formatted expressive human performances. The algorithm of quantizing the start-timing of the notes has been successfully tested on a database of ten expressive piano performances. It gives an accuracy of 92.9% when one note per bar is given as the guide. This paper also introduces tools provided so that the public can make use of our database on the web. Keywords Database, HMM, DP matching