Paper and Data
Demo of Audio Alignment
Synthesised MIDI alignment on the left channel, original audio on the right channel:
Introduction
Welcome to the companion site for the paper “FiloBass: A Dataset and Corpus Based Study of Jazz Basslines” presented at ISMIR 2023. This was work carried out by Xavier Riley, a PhD candidate on the AIM programme at QMUL.
Each piece is ~6mins, so the dataset totals roughly ~5hours of audio.
This site contains links to Soundslice pages where you can preview all the data. Here’s an example:
Score previews
- All The Things You Are
- Alone Together
- Apple Jump
- Autumn Leaves
- Blues By Five
- Bye Bye Blackbird
- C Jam Blues
- Come Rain Or Shine
- Cottontail
- Dear Old Stockholm
- Dolphin Dance
- Doxy
- For Regulars Only
- Four
- Fried Bananas
- Gone With The Wind
- Have You Met Miss Jones?
- Honeysuckle Rose
- I’ll Remember April
- In A Mellotone
- In Your Own Sweet Way
- Invitation
- Isotope
- Just Friends
- Lady Bird
- Milestones
- Montmartre
- Namely You
- Now’s The Time
- Oleo
- On Green Dolphin Street
- Out Of The Night
- Parisian Thoroughfare
- Pennies From Heaven
- Satin Doll
- Scrapple From The Apple
- Sonnymoon For Two
- Soon
- Star Eyes
- Stella By Starlight
- Step Lightly
- Sweet Georgia Brown
- Take The A Train
- Tangerine
- The Rainbow People
- There Will Never Be Another You
- Three Little Words
- UMMG
Feedback/Questions
We welcome feedback on the dataset - please direct this to Xavier Riley whose email address can be found on the ISMIR paper.
License
The FiloBass dataset contains copyright material and is shared with researchers under the following conditions:
- FiloBass may only be used by the individual signing below and by members of the research group or organisation of this individual. This permission is not transferable.
- FiloBass may be used only for non-commercial research purposes.
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FiloBass (or data enabling the its reproduction) may not be sold, leased, published or distributed to any third party without written permission from the FiloBass administrator.
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When research results obtained using FiloBass are publicly released (in the form of reports, publications, or derivative software), clear indication of the use of FiloBass shall be given, usually in the form of a citation of the following paper:
- X. Riley and S. Dixon (2023), FiloBass: A Dataset and Corpus Based Study of Jazz Basslines. 23rd International Society for Music Information Retrieval Conference (ISMIR).
- Queen Mary University of London shall not be held liable for any errors in the content of FiloBass nor damage arising from the use of FiloBass.
- The FiloBass administrator may update these conditions of use at any time.
Acknowledgements
The author is a research student at the UKRI Centre for Doctoral Training in Artificial Intelligence and Music, supported by UK Research and Innovation [grant number EP/S022694/1].