Filter Bank Design for Melody Recognition
Recognizing different features of a waveform to later recompose the music
that was originally present in the signal is a difficult task. There are nu-
merous fields of application where these techniques are known to be useful
including music authoring, digitizer design, automatic music transcription.
There are many different methods that can be used for this purpose giving
somehow inadequate quality regarding noise, polyphony or time- / frequency
localization compared to the human auditory system. In this article, I will
show a new filter design method specifically designed to be aware of human
perception features. I will also show the way how a complete filter bank can
be assembled and used for melody recognition in real time. Finally, I will
point out the benefits of this filter design compared to other methods.