Computer Music Transcription - a brief
introduction to our work
This is a relatively simple task for single instruments playing one
note at a time.
We are concerned with the more challenging case of several or many
notes playing simultaneously. We will wish to answer some or all of the
How many notes are playing at a given time?
What are their pitches?
What instruments are playing, and what timbre are they using?
We employ a harmonic modelling approach in which each note in a
chord is modelled using a harmonic complex:
This leads to a complex parameter and model selection task, for
which we employ Bayesian Monte Carlo computational techniques. These
are iterative, and successively refine the current `estimate' of the
Take for example a 4-note
chord (here repeated many times). We now perform iterative Monte
Carlo sampling to refine our estimate of the fundamental frequencies of
each note in the chord, finally reaching the true pitches of the 4
Here's also a 2-note extract (commit.wav):
First the `ground truth', transcribed by human listener:
And the computer transcription of the same extract - note the
accurate tracking of vibrato and other
Finally, extraction of the
melody line from a complex jazz
and the extracted
Other links and resources: