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	<title>Comments on: Hearing Like Humans Do: New Sonic Analysis Methods Clear Through Noise, Promise Better Music Software</title>
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	<link>http://createdigitalmusic.com/2006/06/12/hearing-like-humans-do-new-methods-yield-better-sonic-analysis-clears-through-noise/</link>
	<description>The latest gear, software, and techniques for electronic music production and performance</description>
	<pubDate>Tue, 07 Oct 2008 23:07:48 +0000</pubDate>
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		<title>By: Lance Williams</title>
		<link>http://createdigitalmusic.com/2006/06/12/hearing-like-humans-do-new-methods-yield-better-sonic-analysis-clears-through-noise/#comment-17064</link>
		<dc:creator>Lance Williams</dc:creator>
		<pubDate>Mon, 10 Jul 2006 21:54:25 +0000</pubDate>
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		<description>Hey, Tom!  How're you doing?  

And what do you think, by comparison, of this one?  

http://www.nature.com/nature/journal/v439/n7079/pdf/nature04485.pdf

("Efficient audio coding," Evan Smith and Michael Lewicki, Nature, 23 Feb 2006)</description>
		<content:encoded><![CDATA[<p>Hey, Tom!  How&#8217;re you doing?  </p>
<p>And what do you think, by comparison, of this one?  </p>
<p><a href="http://www.nature.com/nature/journal/v439/n7079/pdf/nature04485.pdf" rel="nofollow">http://www.nature.com/nature/journal/v439/n7079/pdf/nature04485.pdf</a></p>
<p>(&#8221;Efficient audio coding,&#8221; Evan Smith and Michael Lewicki, Nature, 23 Feb 2006)</p>
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		<title>By: Gilbert Bernstein</title>
		<link>http://createdigitalmusic.com/2006/06/12/hearing-like-humans-do-new-methods-yield-better-sonic-analysis-clears-through-noise/#comment-11650</link>
		<dc:creator>Gilbert Bernstein</dc:creator>
		<pubDate>Tue, 13 Jun 2006 04:39:19 +0000</pubDate>
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		<description>In regards to the comment about pictures, take a look at most of the Siggraph papers (Computer Graphics) or Scientific Visualization papers if you want to see really pretty pictures in a science paper.  I've heard that some of the Viz people go out of their way to tweak their pictures in hopes of getting put on the cover of the journal.</description>
		<content:encoded><![CDATA[<p>In regards to the comment about pictures, take a look at most of the Siggraph papers (Computer Graphics) or Scientific Visualization papers if you want to see really pretty pictures in a science paper.  I&#8217;ve heard that some of the Viz people go out of their way to tweak their pictures in hopes of getting put on the cover of the journal.</p>
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		<title>By: Peter Kirn</title>
		<link>http://createdigitalmusic.com/2006/06/12/hearing-like-humans-do-new-methods-yield-better-sonic-analysis-clears-through-noise/#comment-11584</link>
		<dc:creator>Peter Kirn</dc:creator>
		<pubDate>Mon, 12 Jun 2006 19:15:54 +0000</pubDate>
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		<description>While the analysis isn't necessarily new, is it novel at least in the way they're mapping this to perception and cognition? (Or was that always part of thes approaches, too?)

I'm way out of my depth here, but then, that's why we have comments (and why I tend to enjoy them more than, ahem, my own writing).</description>
		<content:encoded><![CDATA[<p>While the analysis isn&#8217;t necessarily new, is it novel at least in the way they&#8217;re mapping this to perception and cognition? (Or was that always part of thes approaches, too?)</p>
<p>I&#8217;m way out of my depth here, but then, that&#8217;s why we have comments (and why I tend to enjoy them more than, ahem, my own writing).</p>
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		<title>By: Sasa</title>
		<link>http://createdigitalmusic.com/2006/06/12/hearing-like-humans-do-new-methods-yield-better-sonic-analysis-clears-through-noise/#comment-11581</link>
		<dc:creator>Sasa</dc:creator>
		<pubDate>Mon, 12 Jun 2006 19:08:45 +0000</pubDate>
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		<description>In fact, disciplines like Adaptive Filtering and Blind Identification have been always concerned about a similar problem - extracting meaningful signals from complex signals in the presence of unknown noise.

I believe that what this article talks about is nothing new. Time-frequency analysis has been extensively researched. See any book on Wavelet Theory, for example.

It would be nice to read the publication. After a quick scan through the paper mentioned by the previous poster, I am certainly not impressed.</description>
		<content:encoded><![CDATA[<p>In fact, disciplines like Adaptive Filtering and Blind Identification have been always concerned about a similar problem - extracting meaningful signals from complex signals in the presence of unknown noise.</p>
<p>I believe that what this article talks about is nothing new. Time-frequency analysis has been extensively researched. See any book on Wavelet Theory, for example.</p>
<p>It would be nice to read the publication. After a quick scan through the paper mentioned by the previous poster, I am certainly not impressed.</p>
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		<title>By: Peter Kirn</title>
		<link>http://createdigitalmusic.com/2006/06/12/hearing-like-humans-do-new-methods-yield-better-sonic-analysis-clears-through-noise/#comment-11580</link>
		<dc:creator>Peter Kirn</dc:creator>
		<pubDate>Mon, 12 Jun 2006 19:01:12 +0000</pubDate>
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		<description>Thanks, Tom! Yes, I was unable to find it. Added to the story. And the paper itself looks fascinating. I'm really stunned by how they've thought (theoretically, at least) by the way in which this might be modeled in neurons.</description>
		<content:encoded><![CDATA[<p>Thanks, Tom! Yes, I was unable to find it. Added to the story. And the paper itself looks fascinating. I&#8217;m really stunned by how they&#8217;ve thought (theoretically, at least) by the way in which this might be modeled in neurons.</p>
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		<title>By: Tom Duff</title>
		<link>http://createdigitalmusic.com/2006/06/12/hearing-like-humans-do-new-methods-yield-better-sonic-analysis-clears-through-noise/#comment-11569</link>
		<dc:creator>Tom Duff</dc:creator>
		<pubDate>Mon, 12 Jun 2006 18:14:51 +0000</pubDate>
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		<description>The link in the story doesn't go to the paper, but to a news article that doesn't mention the title or even the publication date of the paper.  Nevertheless, I think I found &lt;a href="http://www.pnas.org/cgi/reprint/103/16/6094.pdf" rel="nofollow"&gt;it&lt;/a&gt;.</description>
		<content:encoded><![CDATA[<p>The link in the story doesn&#8217;t go to the paper, but to a news article that doesn&#8217;t mention the title or even the publication date of the paper.  Nevertheless, I think I found <a href="http://www.pnas.org/cgi/reprint/103/16/6094.pdf" rel="nofollow">it</a>.</p>
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