Datasets:
metadata
pretty_name: Mark Hanslip PhD Saxophone Data
tags:
- tenor saxophone
- improvisation
- audio
license: cc-by-nc-nd-4.0
task_categories:
- text-to-audio
- audio-classification
A collection of recordings of private practice sessions on tenor saxophone, recorded in Leeds, UK in 2019 as part of my PhD project.
These recordings were initially created without a specific use-case in mind. They have since been used for the following tasks:
- Audio Classification ("Timbral" and "Melodic Improv")
- Generative Modelling with SampleRNN ("Tone Rows", "Scales and Arpeggios" and "Melodic Improv" worked best)
- Timbre Transfer with RAVE (iil trained a RAVE model on the "Timbral" set)
- Symbolic Modelling with modified Char-RNN (a composite of "Tone Rows", "Scales and Arpeggios" and "Melodic Improv" worked best)