Andreas Arzt, Gerhard Widmer,
"Piece Identification in Classical Piano Music Without Reference Scores"
: Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2017, 10-2017
Original Titel:
Piece Identification in Classical Piano Music Without Reference Scores
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2017
Original Kurzfassung:
In this paper we describe an approach to identify the
name of a piece of piano music, based on a short audio excerpt
of a performance. Given only a description of the
pieces in text format (i.e. no score information is provided),
a reference database is automatically compiled by
acquiring a number of audio representations (performances
of the pieces) from internet sources. These are transcribed,
preprocessed, and used to build a reference database via a
robust symbolic fingerprinting algorithm, which in turn is
used to identify new, incoming queries. The main challenge
is the amount of noise that is introduced into the
identification process by the music transcription algorithm
and the automatic (but possibly suboptimal) choice of performances
to represent a piece in the reference database.
In a number of experiments we show how to improve the
identification performance by increasing redundancy in the
reference database and by using a preprocessing step to
rate the reference performances regarding their suitability
as a representation of the pieces in question. As the results
show this approach leads to a robust system that is able
to identify piano music with high accuracy ? without any
need for data annotation or manual data preparation.