Subject: loudness in the wild: testing loudness models with natural sounds. References? From: "ftordini@xxxxxxxx" <ftordini@xxxxxxxx> Date: Thu, 11 Jun 2015 18:18:52 +0200 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>------=_Part_29876_596041114.1434039532823 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: quoted-printable Dear list members, I am looking for relevant recent studies reporting human= ratings of loudness equalization achieved using computational models appli= ed to natural, non stationary sounds (e.g., environmental sounds, recorded = speech fragments,... something beyond noise-like or tone-like stimuli). The= loudness models can be either multiband (e.g., Glasberg&Moore or Zwick= er type) or single band (e.g., ITU/EBU). I will greatly appreciate any inpu= t from you. Francesco--=20 Francesco Tordini =E2=96=BA skype francesco.tordini PhD Candidate =E2=96=BA http://www.cim.mcgill.ca/sre/personnel/=20 Centre for Intelligent Machines and Department of Electrical and Computer Engineering McGill University 3480 University Street, Room 426 Montreal, QC, H3A 0E9, Canada | T: (514) 398 8201 _________________________________________________ ------=_Part_29876_596041114.1434039532823 Content-Type: text/html;charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div>Dear list members,</div><div> </div><div>I am looking for relevan= t recent studies reporting human ratings of <strong>loudness equalizat= ion</strong> achieved using computational models applied to = <strong>natural, non stationary</strong> sounds (e.g., environmen= tal sounds, recorded speech fragments,... something beyond noise-= like or tone-like stimuli). </div><div>The loudness models can be eith= er multiband (e.g., Glasberg&Moore or Zwicker type) or single band (e.g= ., ITU/EBU).</div><div> </div><div>I will greatly appreciate any input= from you. </div><div>Francesco</div><div><pre>--=20 Francesco Tordini =E2=96=BA skype francesco.tordini PhD Candidate =E2=96=BA http://www.cim.mcgill.ca/sre/personnel/=20 Centre for Intelligent Machines and Department of Electrical and Computer Engineering McGill University 3480 University Street, Room 426 Montreal, QC, H3A 0E9, Canada | T: (514) 398 8201 _________________________________________________</pre></div> ------=_Part_29876_596041114.1434039532823--