Division of Informatics
Forrest Hill & 80 South Bridge
MSc Thesis #9765 | |
|---|---|
| Title: | A Connectionist System for Instrument and Pitch Discrimination |
| Authors: | Thomson,DG |
| Date: | 1997 |
| Presented: | |
| Keywords: | |
| Abstract: | This thesis describes the development of a neural network based system for the detection and identification of instrumental pitches and timbres in recorded music. Modelling human auditory cognition, sounds are analysed using a constant Q fourier transform to give a frequency representation which is used to train and test networks of different sizes. Transient sounds are represented by multiple spectra and presented to a very simple recurrent network. Analysis of trained networks on unheard sounds demonstrates the potential of this system for inclusion in a music transcription system. |
| Download: | NO ONLINE COPY |
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