Re: AUDITORY Digest - 7 Feb 2011 to 8 Feb 2011 (#2011-36) ("Watson, Charles S." )


Subject: Re: AUDITORY Digest - 7 Feb 2011 to 8 Feb 2011 (#2011-36)
From:    "Watson, Charles S."  <watson@xxxxxxxx>
Date:    Wed, 9 Feb 2011 18:36:46 +0000
List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>

Regarding the search for my 2005 article on IM: In case this led to the conclusion that I'm not around, or not able to read and respond, 'tain't so. Chuck Watson PS I sent it to Tim. -----Original Message----- From: AUDITORY - Research in Auditory Perception [mailto:AUDITORY@xxxxxxxx On Behalf Of AUDITORY automatic digest system Sent: Wednesday, February 09, 2011 12:09 AM To: AUDITORY@xxxxxxxx Subject: AUDITORY Digest - 7 Feb 2011 to 8 Feb 2011 (#2011-36) There are 3 messages totalling 159 lines in this issue. Topics of the day: 1. article on informational masking (2) 2. Million Song Dataset ---------------------------------------------------------------------- Date: Tue, 8 Feb 2011 10:13:35 -0000 From: Tim Schoof <t.schoof@xxxxxxxx> Subject: article on informational masking Dear List, I am looking for the following article: Watson, C.S. (2005). Some Comments on Informational Masking. Acta Acoustica 91, 502-512. Hope you can help me. Thanks, Tim --- Tim Schoof Student MRes Speech, Language and Cognition University College London t.schoof@xxxxxxxx ------------------------------ Date: Tue, 8 Feb 2011 10:48:33 -0500 From: Thierry Bertin-Mahieux <tb2332@xxxxxxxx> Subject: Million Song Dataset It is our pleasure to announce the release of The Million Song =20 dataset, a new resource to support music information research. The Million Song Dataset is a freely-available collection of audio =20 features and metadata for a million contemporary popular music tracks. http://labrosa.ee.columbia.edu/millionsong/ Its purposes are: * To encourage research on algorithms that scale to commercial sizes * To provide a reference dataset for evaluating research * As a shortcut alternative to creating a large dataset with The =20 Echo Nest's API * To help new researchers get started in the MIR field The core of the dataset is the feature analysis and metadata for one =20 million songs, provided by The Echo Nest. The dataset does not include =20 any audio, only the derived features. Note, however, that sample audio =20 can be fetched from services like 7digital, using code we provide. The Million Song Dataset is a collaborative project between The Echo =20 Nest and LabROSA. It is hosted by Infochimps and supported in part by =20 the NSF. Aside from instructions on how to get the dataset, the website contains: * code and tutorials to get you started * benchmark results for some example tasks (automatic tagging, =20 artist recognition, ...) * artist-level mappings to link to the Yahoo Ratings Dataset (91% =20 of the artist ratings covered) * demos including how to fetch audio snippets, mapping artists on =20 a world map, ... * forum, FAQ, blog, etc. To better understand where this dataset comes from and what it aims to =20 achieve, you can read Dan Ellis' blog post: http://bit.ly/hF8ozR We are keen to receive questions, comments and suggestions, and we =20 look forward to your new number-crunching MIR algorithms! Thierry Bertin-Mahieux and Dan Ellis, for the Million Song Dataset team http://labrosa.ee.columbia.edu/millionsong/ ------------------------------ Date: Tue, 8 Feb 2011 17:33:48 +0000 From: Brian Gygi <bgygi@xxxxxxxx> Subject: Re: article on informational masking ----=_vm_0011_W8638730108_5239_1297186428 Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Tim, I have that and will email to you off-list (since the list no like attach= aments) Brian Gygi, Ph.D. Speech and Hearing Research Veterans Affairs Northern California Health Care System 150 Muir Road Martinez, CA 94553 (925) 372-2000 x5653 -----Original Message----- From: Tim Schoof [mailto:t.schoof@xxxxxxxx Sent: Tuesday, February 8, 2011 02:13 AM To: AUDITORY@xxxxxxxx Subject: article on informational masking Dear List,I am looking for the following article:Watson, C.S. (2005). Som= e Comments on Informational Masking. ActaAcoustica 91, 502-512.Hope you c= an help me.Thanks,Tim---Tim SchoofStudent MRes Speech, Language and Cogni= tionUniversity College Londont.schoof@xxxxxxxx ----=_vm_0011_W8638730108_5239_1297186428 Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable <html>Tim,<br><br>I have that and will email to you off-list (since the l= ist no like attachaments)<br><div><font face=3D"Verdana" size=3D"2">&nbsp= ;</font></div> Brian Gygi, Ph.D. <br> Speech and Hearing Research <br> Veterans Affairs Northern California Health Care System <br> 150 Muir Road <br> Martinez, CA 94553 <br> (925) 372-2000 x5653<div><font color=3D"#0000ff" face=3D"Verdana" size=3D= "2"></font>&nbsp;</div> <blockquote style=3D"border-left: 2px solid rgb(0, 0, 255); padding-left:= 5px; margin-left: 5px; margin-right: 0px;"><font face=3D"Tahoma" size=3D= "2">-----Original Message-----<br><b>From:</b> Tim Schoof [mailto:t.schoo= f@xxxxxxxx<br><b>Sent:</b> Tuesday, February 8, 2011 02:13 AM<br><b>To:= </b> AUDITORY@xxxxxxxx<br><b>Subject:</b> article on informational= masking<br><br></font>Dear List, I am looking for the following article: Watson, C.S. (2005). Some Comments on Informational Masking. Acta Acoustica 91, 502-512. Hope you can help me. Thanks, Tim --- Tim Schoof Student MRes Speech, Language and Cognition University College London t.schoof@xxxxxxxx </blockquote></html> ----=_vm_0011_W8638730108_5239_1297186428-- ------------------------------ End of AUDITORY Digest - 7 Feb 2011 to 8 Feb 2011 (#2011-36) ************************************************************


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