Demo page

This is the accompanying web page for

Eita Nakamura, Kazuyoshi Yoshii, Haruhiro Katayose
Performance Error Detection and Post-Processing for Fast and Accurate Symbolic Music Alignment
In Proc. ISMIR 2017.

Symbolic music alignment (or score-to-performance matching) is a technique to automatically match a note in a music performance to the corresponding note in the score. This tool includes the currently most accurate alignment algorithm and is provided with a user interface to visualise the alignment result so that one can examine and correct it. The main alignment algorithm consists of three parts:

preliminary alignment by hidden Markov models (HMMs)
performance error detection
post-processing realignment by merged-output HMMs

By detecting performance errors in the preliminary alignment result, the algorithm automatically finds regions in the performance that can potentially contain alignment errors and corrects them by the realignment process.

Source code

Alignment tool (C++)

AlignmentTool_v2.zip (208KB)
Manual (PDF)

User interface (Qt code)

AlignmentUI_v1.zip (83KB)
Manual (PDF)

Demonstrating examples

Alignment results by HMM are compared with results after realignment by the merged-output HMM. As in examples above, the upper staffs represent the score information and the lower staffs represent the performance information, and missing notes (extra notes; pitch errors) are indicated with pink (cyan; red) bold boxes.

Example 1 from Chopin: Fantaisie Impromptu

Example 2 from Chopin: Scherzo No. 2

Example 3 from Brahms: Paganini Variations Book 2 Variation 9

Example 4 from Beethoven: Piano Sonata No. 23 'Appasionata' 1st Movement

Contact

Eita Nakamura
Research Building No 7 Room 417, Yoshida-honmachi, Sakyo-ku, Kyoto 606-8501, Japan
e-mail: enakamura[at]sap.ist.i.kyoto-u.ac[dot]jp
phone: +81-075-753-4952