I'm not a sound engineer, but it seems like if you pick up any portion of 
flight calls in the noise reference signal, you will end up removing or 
reducing the flight calls in the resultant recording, which would be extremely 
counterproductive.  So you would need to obtain a good recording of the ambient 
noise only that definitely doesn't include any energy from calls.  Perhaps 
there is a way to built a bucket baffle that would insulate the noise mic from 
the flight call sounds.

Cheers,
Ben Coulter

--- On Sat, 8/22/09, Chris Tessaglia-Hymes <[email protected]> wrote:

From: Chris Tessaglia-Hymes <[email protected]>
Subject: Re: [nfc-l] Engineers - chime in? Adaptive Noise Cancellation
To: "[email protected]" <[email protected]>
Date: Saturday, August 22, 2009, 1:00 AM




  
Okay, last post for the night....



The more I read about this, the more and more it sounds really cool.



So, you software and hardware engineer people out there - what do you
think? Can it work to better clean up night flight call data
collection? Heck, this could get you closer to that 90-95% positive
detection figure we'd all like to see.



http://plaza.ufl.edu/badavis/EEL6502_Project_1.html



Sincerely,

Chris T-H



Chris Tessaglia-Hymes wrote:

  
  
I think the idea with adaptive noise cancellation is this:

  

you have a dual microphone system. One channel is the primary channel
(collecting the target sounds). The second channel is the "noise
collection" channel. Through some mathematical algorithms, you subtract
the noise collected in the "noise" channel from the primary channel
(e.g., a different microphone aimed at collecting the cricket sounds or
the katydid sounds, perhaps using a slightly lower gain setting, so as not
  to pick up distant flight calls being collected in the primary
channel). The resulting signal in the primary channel should have
reduced cricket and katydid sounds. Well, that's the theory, I guess.

  

Here's an older paper abstract from 1975. Current technology can
probably do this adaptive noise filtering in very real-time.

  

  http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1451965

  

Sincerely,

Chris T-H

  

Michael Lanzone wrote:
  It's worth playing with... I would be worried about
loosing thrushes and other spp in 3-5kHz range in the mix though, but
if it worked well would solve a huge problem. 

    

Mike 

    

Sent from my iPhone 

    

On Aug 21, 2009, at 10:09 PM, Chris Tessaglia-Hymes
    <[email protected]> wrote: 

    

    Aha! I did a little searching. It looks
like
it is possible to cancel out the unwanted sounds, real-time. My first
result was this, which describes adaptive noise cancellation
technology: 

      

      http://www.developer.com/java/other/article.php/3599661
      

      

Sincerely, 

Chris T-H 

      

Chris Tessaglia-Hymes wrote: 

      So, the question is: can the unwanted
cricket and katydid sounds be removed from the audio channel at the
time of sound acquisition, real-time, such that their acoustic
signatures are minimized or eliminated altogether from the collected
sound data prior to an automatic detector batch process? 

        

Sincerely, 

Chris T-H 

        

Michael Lanzone wrote: 

        No software we have worked with gets
near
100%. I have toyed around with templates that got 95% of the calls, and
detectors can get ~90%, but more commonly get in the 60-80% range. In
Louisiana with the insects it would be on the low end of this. Katydids
and such are problematic for detectors... 

          

Best, 

Mike 

          

Sent from my iPhone 

          

On Aug 21, 2009, at 7:43 PM, Erik Johnson
          <[email protected]>
wrote: 

          

          Hi All, 

            

I've been recording from my home in south Louisiana with set-ups like 

Chris and David over the last few years.  I've been using the oldbird 

software (tseep, etc), but only get about 20% of the flight calls that 

I would otherwise detect by ear (and visually on spectrographs).  Not 

only is the detection software missing many calls, it's also 

underestimating the richness that I could get.  In one of my best fall 

nights I more than doubled the species richness by listening through 

the entire night compared to running it through the software.  What's 

also frustrating is that I get a TON of trash clips - many more than 

birds clips.  I've tried to filter out background noise (which is 

mostly insects and air conditioning units) before running the file 

through the auto-detect software, but it doesn't change the results 

much.  I haven't toyed with the other programs that have been 

mentioned in this threat, but as I understand it, they also don't get 

near 100% - or am I wrong - it sounds like this technology improving 

quickly.  This list serve is giving me new inspiration to hook up the 

mic this fall and to play around with more settings and programs.  I'm 

eager to see the upcoming manuscript and to hear everyone's thoughts 

on this subject! 

            

Happy listening, 

Erik Johnson 

Lafayette, LA 

            [email protected] 

            

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Bioacoustics Research Program, Cornell Lab of Ornithology 

159 Sapsucker Woods Road, Ithaca, New York 14850 

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Christopher T. Tessaglia-Hymes
TARU Product Line Manager and Field Applications Engineer
Bioacoustics Research Program, Cornell Lab of Ornithology
159 Sapsucker Woods Road, Ithaca, New York 14850
Voice: 607-254-2418, FAX: 607-254-2460
http://www.birds.cornell.edu/brp mailto:[email protected]
=============================================



-- 
=============================================
Christopher T. Tessaglia-Hymes
TARU Product Line Manager and Field Applications Engineer
Bioacoustics Research Program, Cornell Lab of Ornithology
159 Sapsucker Woods Road, Ithaca, New York 14850
Voice: 607-254-2418, FAX: 607-254-2460
http://www.birds.cornell.edu/brp mailto:[email protected]
=============================================
 



      
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