[AUDITORY] Measuring perceptual similarity (Pat Savage )


Subject: [AUDITORY] Measuring perceptual similarity
From:    Pat Savage  <patsavagenz@xxxxxxxx>
Date:    Mon, 12 Mar 2018 09:24:25 +0900
List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>

--Apple-Mail=_B30411EB-F377-4A1D-ABD8-791BA6033B7E Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset=utf-8 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=E2=80=99d like to make sure that I = don=E2=80=99t 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 <http://patrickesavage.com/> --Apple-Mail=_B30411EB-F377-4A1D-ABD8-791BA6033B7E Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset=utf-8 <html><head><meta http-equiv=3D"Content-Type" content=3D"text/html; = charset=3Dutf-8"></head><body style=3D"word-wrap: break-word; = -webkit-nbsp-mode: space; line-break: after-white-space;" class=3D"">Dear = Auditory list (apologies for cross-posting),<div class=3D""><div = class=3D""><br class=3D""></div><div class=3D"">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.</div><div class=3D""><br class=3D""></div><div class=3D"">Since = this is a new area for me, I=E2=80=99d like to make sure that I don=E2=80=99= 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?</div><div class=3D""><br = class=3D""></div><div class=3D"">Cheers,</div></div><div class=3D""><div = class=3D"" style=3D"word-wrap: break-word; -webkit-nbsp-mode: space; = line-break: after-white-space;"><div class=3D"" style=3D"word-wrap: = break-word; -webkit-nbsp-mode: space; line-break: = after-white-space;"><div class=3D"" style=3D"word-wrap: break-word; = -webkit-nbsp-mode: space; line-break: after-white-space;"><div = class=3D"">---<br class=3D"">Dr. Patrick Savage<br class=3D"">Project = Associate Professor</div><div class=3D"">Faculty of Environment and = Information Studies</div><div class=3D"">Keio University SFC (Shonan = Fujisawa Campus)<br class=3D""><a href=3D"http://PatrickESavage.com" = class=3D"">http://PatrickESavage.com</a></div></div></div></div></div><br = class=3D""></body></html>= --Apple-Mail=_B30411EB-F377-4A1D-ABD8-791BA6033B7E--


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