The University of Edinburgh -
Division of Informatics
Forrest Hill & 80 South Bridge

MSc Thesis #9765

Title:A Connectionist System for Instrument and Pitch Discrimination
Date: 1997
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.

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