Deep Learning Guitar Transcription

Calum Courtney


Supervised by Dave Marshall; Moderated by Hiroyuki Kido

Many advanced sample libraries now exist that encompass a wide range of guitar types and playing styles. Other similarly exist for other musical instruments.

The basic idea here is use a large range of sample libraries to deep learn playing style and instrument type.

A deep learning approach to classify input as a playing style of guitar type

Have learnt to identify such styles/type the information can be applied to input audio of an instrument to transcribe the varying articulations/styles/type being played.

A variety of interesting questions need to researched: * What the the best format for the input audio * What type and configuration of network is best * How to format the class labels.

Final Report (15/09/2023) [Zip Archive]

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