Florian Hörschläger, Richard Vogl, Sebastian Böck, Peter Knees,
"Addressing Tempo Estimation Octave Errors in Electronic Music by Incorporating Style Information Extracted from Wikipedia"
: Proceedings of the 12th Sound and Music Computing Conference, 2015
Original Titel:
Addressing Tempo Estimation Octave Errors in Electronic Music by Incorporating Style Information Extracted from Wikipedia
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the 12th Sound and Music Computing Conference
Original Kurzfassung:
A frequently occurring problem of state-of-the-art tempo
estimation algorithms is that the predicted tempo for a piece
of music is a whole-number multiple or fraction of the
tempo as perceived by humans (tempo octave errors). While
often this is simply caused by shortcomings of the used algorithms,
in certain cases, this problem can be attributed to
the fact that the actual number of beats per minute (BPM)
within a piece is not a listener?s only criterion to consider
it being ?fast? or ?slow?. Indeed, it can be argued that the
perceived style of music sets an expectation of tempo and
therefore influences its perception.
In this paper, we address the issue of tempo octave errors
in the context of electronic music styles. We propose to
incorporate stylistic information by means of probability
density functions that represent tempo expectations for the
individual music styles. In combination with a style classifier
those probability density functions are used to choose
the most probable BPM estimate for a sample. Our evaluation
shows a considerable improvement of tempo estimation
accuracy on the test dataset.