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Re: [AUDITORY] Measuring perceptual similarity
- To: AUDITORY@xxxxxxxxxxxxxxx
- Subject: Re: [AUDITORY] Measuring perceptual similarity
- From: Martin McKinney <martin.mckinney@xxxxxxxxx>
- Date: Mon, 12 Mar 2018 08:53:26 -0500
- Approved-by: martin.mckinney@xxxxxxxxx
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- Reply-to: Martin McKinney <martin.mckinney@xxxxxxxxx>
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We ran a series of experiments on music similarity a few years ago, using triadic comparisons. See the linked paper for a description of the method and analysis of the results. The resulting data were quite useful for training algorithms on music similarity.
http://ismir2006.ismir.net/PAPERS/ISMIR06148_Paper.pdf
-Martin
> On Mar 11, 2018, at 7:24 PM, Pat Savage <patsavagenz@xxxxxxxxx> wrote:
>
> Dear Auditory list (apologies for cross-posting),
>
> After years of doing feature-based analyses of musical similarity, I finally have the opportunity to run perceptual experiments to obtain data on perceptual similarity with which to compare feature-based analyses against.
>
> Since this is a new area for me, I’d like to make sure that I don’t reinvent the wheel or miss good existing experimental paradigms. Can anyone point me towards good resources for best practices in running perceptual similarity experiments?
>
> Cheers,
> ---
> Dr. Patrick Savage
> Project Associate Professor
> Faculty of Environment and Information Studies
> Keio University SFC (Shonan Fujisawa Campus)
> http://PatrickESavage.com
>