Version Detection for Historical Musical Automata.
Sprache des Titels:
Proceedings of the 8th Sound and Music Computing Conference (SMC 2011), Padova, Italy.
Musical automata were very popular in European homes
in the pre-phonograph era, but have attracted little attention
in academic research. Motivated by a specific application
need, this paper proposes a first approach to the
automatic detection of versions of the same piece of music
played by different automata. Due to the characteristics
of the instruments as well as the themes played, this
task deviates considerably from cover version detection in
modern pop and rock music. We therefore introduce an
enhanced audio matching and comparison algorithm with
two main features: (1) a new alignment cost measure ?
Off-Diagonal Cost ? based on the Hough transform; and
(2) a split-and-merge strategy that compensates for major
structural differences between different versions. The system
was evaluated on a test set comprising 89 recordings
of historical musical automata. Results show that the new
algorithm performs significantly better than the reference
system based on Dynamic Time Warping and chroma features
without the above-mentioned new features, and that
it may work well enough to be practically useful for the