Bernhard Niedermayer,
"Non-Negative Matrix Division for the Automatic Transcription of Polyphonic Music."
: Proceedings of the 9th International Conference on Music Information Retrieval (ISMIR 2008), 2008
Original Titel:
Non-Negative Matrix Division for the Automatic Transcription of Polyphonic Music.
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the 9th International Conference on Music Information Retrieval (ISMIR 2008)
Original Kurzfassung:
In this paper we present a new method in the style of
non-negative matrix factorization for automatic transcription
of polyphonic music played by a single instrument
(e.g., a piano). We suggest using a fixed repository
of base vectors corresponding to tone models of
single pitches played on a certain instrument. This assumption
turns the blind factorization into a kind of
non-negative matrix division for which an algorithm
is presented. The same algorithm can be applied for
learning the model dictionary from sample tones as
well. This method is biased towards the instrument
used during the training phase. But this is admissible
in applications like performance analysis of solo music.
The proposed approach is tested on a Mozart sonata
where a symbolic representation is available as well as
the recording on a computer controlled grand piano.
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