Beautiful, Tim!  This helps a lot.

All the Best,
Eric




________________________________
From: Tim Krein <[email protected]>
To: [email protected]
Sent: Monday, August 24, 2009 11:10:59 PM
Subject: Re: [nfc-l] NFC Detectors and Equipment?

Some comments below regarding use of Raven for review of 
detections/selections.  Also, to answer Chris T-H's question about the BirdCast 
transient detector and the energy detector in Raven, the detector in Raven is a 
port of the old BirdCast detector to Java.  They should function similarly if 
you use the same parameters.

- Tim


On 8/22/09 10:06 AM, e kent wrote: 
Erik Johnson wrote:  "What's also frustrating is that I get a TON of trash 
clips - many more than birds clips."
>
>To be clear, I'm a hobbyist with limited time, so I use detectors *assuming* 
>it will give acceptable results more quickly than viewing/listening to sound 
>files directly.
>
>Unfortunately, as Mike Lanzone points out, Trash-versus-Bird is one trade-off 
>when using detectors.  However, this trade-off can be mitigated by an 
>efficient tool to sift through the trash.  For the this discussion, I'll say 
>the software detection process has two major phases: the software detection 
>itself, and then the human classification phase (trash versus bird).
>
>Not sure if others agree, but as others work to improve the detectors, I think 
>a quick win is an improved tool for the 2nd phase, wheat-vs-chaff 
>classification.  
>
>For example, last night I ran a file through a Raven detector graciously 
>forwarded by Mike Powers.  Examining the results with Glass-of-Fire, 
>I labelled one sound out of 200+ detections as a bird (same as when I used 
>Tseep/Thrush against the file).   This was quick and painless.
>
>However, individual review of Raven detections revealed I *incorrectly* 
>labelled 7 bird calls as Noise in Glass-of-Fire.  This is because 
>Glass-of-Fire stretches spectrograms to a pre-defined size, rendering the bird 
>calls visually unrecognizable.  So, the detector found birds, but the 
>efficient classifier was inaccurate.
>
>Manual review of each Raven detection was accurate, but highly inefficient:  
>viewing hundreds of selections one-at-a-time is slow and tedious.  The 
>bounding boxes effectively hide short sounds.  Keeping or deleting good/bad 
>selections from the selection list is error prone.TK> You can hide the 
>bounding boxes in Raven using the Layout side panel.  When doing this, you can 
>increase the opacity of the selection fill to be able to see the selections, 
>thereby allowing you to see the entire selection without the bounds getting in 
>the way.  You can also show the selection number using the View > Configure 
>Selection Labels dialog.  This is what Anne K. has done effectively.  We've 
>recently received requests to be able to advance through selections 
>automatically without any keystrokes or button presses.  In Raven Pro 1.4 
>build 24 (currently in test), we have such a feature.  You can advance through 
>each selection with a delay time in between, and you
 can optionally play the selections as you advance through them.  Perhaps this 
is still not as efficient as MxN selections displayed in a grid, but it does 
save on RSI for those people who have to scan their selections.  Rather than 
deleting selections from a table, it might make sense to add a particular 
annotation to them (x, d for delete, b for bad), then sort by that annotation 
column, then move all of the matching annotations to a new table.  We'll open a 
new feature request for the clip viewer.


>
>Glass-of-Fire is a great format: view page-fulls of spectograms, and quickly 
>classify them with key combos.  A great improvement would be to present 
>spectrograms without stretching.  To use Raven detections with a Glass-of-Fire 
>style viewer, it would be helpful to see more sound around the Raven 
>detection.  For example, in the case of a longer bird call it 
>successfully detected part of the call, without selecting the whole sound.  In 
>the case of a short call, it's difficult to understand what you're looking at 
>without seeing more context around the sound.TK> When you export clips from 
>Raven (File > Save All Selections...), you can specify a pad size so that 
>Raven saves extra time around the selection as part of the exported file.  
>This will not get you identical file sizes unless you first alter the size of 
>the selections in Raven.  You can also save the Raven table, then edit it in 
>Excel so that all of the selection time widths are
 identical.


>
>Regardless, I think increased efficiency during human classification should 
>allow current detectors to flag even more sounds, catching more bird calls 
>along with the trash.
>
>
>Thanks,
>Eric
>
>
>
>
>
>
>
>
________________________________
From: Chris Tessaglia-Hymes <[email protected]>
>To: [email protected]
>Sent: Friday, August 21, 2009 2:09:37 PM
>Subject: [nfc-l] NFC Detectors and Equipment?
>
>Hi everyone,
>
>In the past, I have not used any detectors when going through my night 
>recordings at home (Etna, NY). I have collected my sound data from the 
>roof-top microphone (Evans-style, with a Knowles microphone element) piped 
>into my home computer running Raven Pro, recording a continuous file sequence 
>from start to finish with each file duration equal to 1 minute. The following 
>day, I would browse through the sound file sequence by hand, again using Raven 
>Pro, looking for sounds of interest. Once a sound of interest was worth 
>saving, as an example of a good flight note for species x, or an interesting 
>unidentified species flight call, I would cut-and-paste that sound file into a 
>new window and save it with a time-stamped label, uniquely pairing it to the 
>file/time it was copied from.
>
>Now, this is all fine when you are a single person, operating your own home 
>station, only recording on those nights which appear to have good night 
>flights. But, when you begin operating to capture every night from multiple 
>stations, or you want to really quantify most or all of the calls that night, 
>the question of data storage and data processing becomes the big issues.
>
>How do some of you out there collect your sound data?
>
>What tools do you use for browsing sounds?
>
>Do you only use detectors?
>
>Here's a question for probably three people on this list:
>
>What is the difference between the current Raven Pro detector that Mike Powers 
>provided settings for and the old BirdCast transient detector? Is there a 
>difference?
>
>Getting back to an earlier posting from Tom Fowler (prior to the bloom in 
>membership...140+ now!), what kind of equipment do you each use for recording 
>or listening to your sounds?
>
>I mentioned that I use a variation on the Bill Evans-style flowerpot 
>microphone. I know that Andrew Farnsworth and Mike Powers use a microphone, 
>pre-amp, and housing designed by engineers at Bioacoustics at the Cornell Lab 
>of Ornithology, storing their night sounds on flash memory inside a SoundCache 
>for analysis later, but what do others use?
>
>What are your personal home recording setups like?
>
>What obstacles or limitations have you encountered with your equipment setups 
>or recordings?
>
>I realize these are a lot of questions, but I wanted to pose these to the list 
>in order to help initiate discussion along these lines.
>
>Information about Bill Evans's flowerpot design can be found here: 
>http://www.oldbird.org/ (click on Microphone Design in the left panel)
>
>Information about the Raven software can be found here: 
>http://www.birds.cornell.edu/brp/raven/RavenOverview.html
>
>Another sound analysis software tool, Syrinx, can be found here: 
>http://syrinxpc.com/
>
>Thanks and good night listening!
>
>Sincerely,
>Chris T-H
>
>-- Chris Tessaglia-Hymes
>Listowner, NFC-L
>Ithaca, New York
>[email protected]
>http://www.NortheastBirding.com/NFC_WELCOME
>http://www.NortheastBirding.com/NFC_RULES
>
>
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