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Q: Automatic bird call species recognition ( Answered 4 out of 5 stars,   0 Comments )
Question  
Subject: Automatic bird call species recognition
Category: Computers > Algorithms
Asked by: birdbrain-ga
List Price: $150.00
Posted: 06 Nov 2002 16:56 PST
Expires: 06 Dec 2002 16:56 PST
Question ID: 100793
Is it possible to automatically recognize bird species in the field by
analyzing their vocalizations (songs and calls) in real time?

To answer this, you might consider:
What research has been done in this area so far?  And by whom?
What voice recognition technologies might be most appropriate for this
task?
How species-specific and how varied are bird vocalizations?
What are the biggest challenges and how might they be overcome?
(e.g. hardware, software, recording equipment, access to reference
data, etc.)

Please provide ways for me to continue my own research (including
contacts for consultants and experts in related fields).  Also, I plan
to tip up to the allowed amount ($100), depending on the usefulness of
the answer.
Answer  
Subject: Re: Automatic bird call species recognition
Answered By: umiat-ga on 07 Nov 2002 00:21 PST
Rated:4 out of 5 stars
 
Hello, birdbrain-ga!

  Your question was quite challenging, to say the least! However, as a
wildlife biologist in Alaska during the 1970’s, I felt compelled to
take it on and see what research I could find to help you in your
quest. I have come up with some interesting articles that tackle your
main question…the possibility of recognizing different bird species in
the field by their vocalizations.

 The ability to recognize bird species in the field by analyzing their
vocalizations is supported by the literature.
 
  An article titled “Applications of Acoustic Bird Monitoring for the
Wind Power Industry,” by William R. Evans, Cornell Laboratory of
Ornithology, Ithaca, NY., highlights various methods of identifying
night-flying birds near wind turbines. The author states that about
“200 species of North American birds are known to give calls during
night migration, with ** roughly 150 of those being distinctive enough
to identify with certainty.”**  The other species are “lumped into a
number of similar call complexes,” with the calls of species within
these groups not yet able to be distinguished with reliability.
 The study utilized three methods of acoustic monitoring at recording
stations.
  At one location, a pressure zone microphone was sheltered within
concrete housing, with the audio cable carried through PVC piping
where the signals were recorded on hi-fi video-cassette recorders.
“The tapes were analyzed each season for species composition…..both by
ear, and with the help of sound analysis software developed by the
Cornell Laboratory of Ornithology’s Bioacoustics Research Program.”
  A second location was similar in recording methods, with the
difference being a series of microphones set up in plowed fields,
powered by 12-volt, deep-cycle batteries.
 The third location utilized “eight, skyward-facing PZM microphones”
positioned in a field. The layout of the microphones in different
areas of the field potentially allowed the bird calls to be received
by all eight microphones. Bird calls were analyzed with the help of
software developed by the Cornell Bioacoustics Lab.
  An interesting result of the recordings was the availability of the
sound technology to not only pick up bird collisions near the wind
turbines, but “alarm calls” as well.
  A discussion of radar monitoring versus acoustic monitoring states
that although radar is capable of monitoring each flying bird,…
“acoustic methods gives species information….”
  An excerpt of the discussion of acoustic software follows:
   “Where do we go from here with this acoustic technology? How far
off is species call-recognition software? Evans feels that automated
call recognition is possible, given sufficient development funding,
and would dramatically reduce the time and cost of data analysis. In
the Nebraska study, computer call-recognition algorithms were used to
detect probable calls and to copy them to a computer hard drive, thus
allowing remote access to call data without the intervening “quiet”
periods.
 Please read the entire article at
http://www.nationalwind.org/pubs/avian98/21-Evans-Acoustics.pdf

 Contact information provided  for Bill Evans, Consulting
Ornithologist and Acoustical Researcher, Ithaca, NY, while a 1999
co-chair for a Cornell workshop on “Avian Mortality at Communications
Towers” is given as William R. Evans. P.O. Box 46 Mecklenburg, NY
14863. Ph. 607/272-1786.
http://216.239.53.100/search?q=cache:CoAiIaq9go8C:migratorybirds.fws.gov/issues/towers/evanintr.html+analyzing+bird+vocalizations+technology&hl=en&ie=UTF-8

 An excerpt from a presentation given by Bill Evans at the 1999
Cornell Workshop, titled “Applications of Avian Night Flight Call
Monitoring for Towerkill Mitigation,”at
http://migratorybirds.fws.gov/issues/towers/evans.html, has some
interesting highlights about acoustic monitoring, even though it’s
primary focus is on helping to reduce the rate of bird kills near wind
towers.
 “Besides its applications for imaging broad front species composition
and relative abundance, acoustic monitoring has proven to be a useful
tool for monitoring avian activity in close proximity to towers. As I
mentioned in my introduction, acoustic monitoring documented
collisions and many incidences of alarm calls when a microphone was
placed under a 317-foot tower in Nebraska. Also, in that study, call
notes of migrating songbirds were recorded and the acoustic record
indicates periods during some evenings when calling rates increase
concurrently with call loudness. These appeared to have been
incidences when songbirds were circling the lights on the tower.
Software has been developed to automatically log such call notes and
the technology exists today to outfit towers with acoustic sensors
that could transmit information calling information to a research
station. A researcher could simultaneously monitor hundreds of towers
in a region for calling situations that indicate a kill might be
taking place. This information could be used to alert field
researchers to which towers to check in the morning. It could also be
used to automatically monitor how many nights a year birds are
congregating in the vicinity of towers, how often during a night, and
roughly in what numbers. Such acoustic monitoring might also be used
to trigger alternative lighting schemes that would be less attractive
to migrating songbirds.”

 A paper, titled “Acoustic Monitoring of Night-Migrating Birds: A
Progress Report,” by Bill Evans and Kenneth Rosenberg at
http://birds.cornell.edu/pifcapemay/evans_rosenberg.htm, goes into
more technical detail about acoustic bird call monitoring. Excerpts
follow:
  “This paper discusses an emerging methodology that uses electronic
technology to monitor vocalizations of night-migrating birds. On a
good migration night in eastern North America, thousands of call notes
may be recorded from a single ground-based, audio-recording station,
and an array of recording stations across a region may serve as a
"recording net" to monitor a broad front of migration……. Night-flight
calls of 35 species of migrant landbirds have been identified by
spectrographic matching with diurnal calls recorded from
known-identity individuals; call types of another 31 species are
known, but are not yet distinguishable from other similar calls in
several species complexes. Efforts to use signal-processing technology
to automate the recording, detection, and identification of
night-flight calls are currently under way at the Cornell Lab of
Ornithology.”
  “Most species of North America's migrant landbirds make their
transcontinental flights at night, and many species give short
vocalizations while they fly. By aiming microphones at the night sky,
a volume of sky-with dimensions dependent on microphone design-can be
monitored for calls (Graber and Cochran 1959). A variety of microphone
and recording station designs have been used for this purpose,
depending on the specific monitoring goals and the recording
environment (Graber and Cochran 1959, Dierschke 1989, Evans 1994). In
many regions of North America, a recording station may detect
thousands of calls during a single migration night (Graber and Cochran
1960, Evans 1994). Species known to give night-flight calls include
the warblers (Parulinae), sparrows (Emberizinae), cuckoos (Cuculidae),
rails (Rallidae), herons (Ardeidae), and Catharus thrushes. Groups not
known to give regular vocalizations in night migration are the vireos
(Vireonidae), flycatchers (Tyrannidae), and orioles (Icterinae). If a
monitoring protocol is consistently maintained, an array of microphone
stations can provide information on how the species composition and
number of vocal migrants vary across time and space. Such data have
application for monitoring avian populations and identifying their
migration routes. In addition, detection and classification of
distinctive call-types is possible with computers (Mills 1995, Taylor
1995), thus information on bird populations might be gained
automatically. In this paper, we summarize the current state of
knowledge for identifying night-flight calls to species; present
selected results from four ongoing studies that are monitoring
night-flight calls; and discuss the implications of this research for
conservation of migratory landbirds.
  (The use of microphones and accompanying recording technology is
discussed in detail, similar to the other papers referenced by Evans.
A bit more detail is provided about the software):
 “Calls were detected on the recordings by listening through
headphones (Evans) and by signal analysis software written in the
Bioacoustics Research Program at the Cornell Laboratory of Ornithology
(Mills 1995). This software was designed to detect short high-pitched
call notes, which range in frequency from 5-9 kHz. All sound analysis
employed the software program Canary (Charif et al. 1995).”
 “A long-standing impediment to the development of night-flight call
monitoring has been call identification. The night-flight calls of
many species, such as warblers and sparrows, are like single cricket
chirps, typically between 0.05 and 0.25 seconds long. Their high
frequencies (5-9 kHz) make them especially difficult for the human ear
to distinguish.”
 “Since 1985, Evans has systematically determined the type of
night-flight call given by most species in eastern North America.
Three techniques were used to acquire this information (see Evans
1994). First, structural details of night-flight calls were compared
with diurnal calls of known identity through spectrographic analysis
(Fig. 2). The diurnal calls were typically recorded from birds in
visible flight, and such calls were considered as likely to be the
same call type used during night migration. The other two methods of
call determination consisted of correlating the seasonal timing and
geographic range in which various types of night-flight calls were
recorded with known timing and migration ranges for each species.”
  “During five spring migrations, this recording station recorded over
50,000 calls of migrating birds. Basic evidence for the identity of
these species' night-flight calls was compiled by spectrographically
matching migratory contact notes from observed birds during the day
with distinctive night-flight calls (Fig. 2). Identities were then
further corroborated by matching the seasonal time of occurrence of
the tentatively identified call-types with the migrational databases
compiled by Cruickshank and Taylor (Evans, in prep)”
  **” The question most frequently asked regarding this emerging
technique involves species identification and problems associated with
non-calling or non-detected individuals. We believe that the issue of
species identification has been addressed partly through careful
comparisons with calling birds of known identity, and through the use
of modern spectrographic analysis. Our knowledge of call identities
and variations within species will be refined as field recordists
continue to work in new areas of North America, and as
computer-analysis techniques become more sophisticated.”**
  
***Please see charts in the above article which help to address your
question about how species-specific and varied bird vocalizations can
be.***

 The paper, “Acoustic Surveys of Birds Using Electronic Recordings:
New Potential from an Omnidirectional Microphone System,” by Dr. Keith
Hobson. Canadian Wildlife Service at
http://flash.lakeheadu.ca/~rrempel/CVX/research_paper.pdf, examines
the use of “audio recordings for avian point counts……in particular,
the newly developed omnidirectional microphone system with exceptional
recording performance, to see if this could adequately replace a
trained observer in the field.” Since the demand for trained
individuals, who can “identify acoustically as many as 120 species”
far exceeds the supply, the need for audio technology is immediate.
  One advantage of the microphone approach is the ability for “tapes
to be interpreted by a single, trained expert,” which would thus serve
as a “control for observer variability.”
  Although directional microphones have been used in the past to
record bird point counts, they lacked the ability to census in all
directions, as a human observer can do. Therefore, the omnidirectional
microphone, developed by River Forks Research Corporation in Prince
Albert, Saskatchewan, proved a better alternative.
  (To read technical specifics about the microphone and its
accessories, refer to the section under “Microphone” in the report.)
  To read further about the advantages and disadvantages associated
with employment of the omnidirectional microphone and the ability to
recognize individual species vocalizations as compared to a human
observer, please read the entire article. (Allow some time for the PDF
file to load!)
 Contact information:
   Dr. Keith Hobson
   Canadian Wildlife Service
   115 Perimeter Rd.
   Saskatoon, SK
   S7N 0X4
   306-975-4102

   River Forks Research Corporation
   2557 Mcdonald Avenue
   Prince Albert, SK Canada S6V 2V8
  
  A recent study by the Patuxent Wildlife Research Center in Maryland
is focused on identifying individual birds within specific taxa by
monitoring vocalizations. An excerpt of the study follows:
  “In recent years, the technology for recording and analyzing bird
vocalizations has undergone considerable improvements. Analyses of
vocalizations that formerly required use of sophisticated equipment in
specialized laboratories can now be accomplished on personal
computers. Improved analytical techniques allow for the identification
of individual birds by their vocalizations. Although the few current
studies have been conducted with a small number of passerine species,
these techniques may be equally useful for colonial-nesting birds and
other non-passerines and hold the potential for developing innovative
approaches for monitoring populations of many bird species. We propose
to explore the use of vocalizations of individual birds in the
development of monitoring techniques for colonial waterbirds. In this
study, we will determine whether individuals of specific taxa can be
distinguished and identified by their vocalizations. The primary
emphasis will on nocturnal and crevice/burrow nesting species because
reliable monitoring methods do not presently exist for most of these
taxa. ** If this study finds that individuals can be positively
identified by their vocalizations**, a second study will be necessary
to explore using vocalizations in capture-recapture models to estimate
population size.”
 You can read an abstract of the proposed study, “Exploring the use of
recorded sounds for monitoring waterbird populations,” (7/26/2002) at
http://www.pwrc.usgs.gov/research/sis2002/sispwrcpage160.html

 Contact information for the individual in charge of the above project
is also listed:
   Melanie J Steinkamp, USGS Patuxent Wildlife Research Center:
melanie_steinkamp@usgs.gov


Analyzing bat populations with voice technology (not birds, but still
useful!)
  “Researchers here have shown that computer technology can be used to
help estimate how many bats are in an area, simply by analyzing
recorded bat calls.”
  “Researchers used a computerized neural network that differentiates
between the distinct vocal patterns of individual bats. The program
helped estimate how many bats produced the calls that were recorded.
This neural network is similar to computer voice recognition programs
for humans. The findings are especially promising for habitat
managers, according to Stephen Burnett, study co-author and a graduate
student in evolution, ecology and organismal biology at Ohio State
University. "Relying on a computer to separate the recorded voices is
one way of determining the number of animals in an area without
disturbing them in their natural habitat," he said.”
  Read “Researchers Use “Voice Recognition” Program to Count Bats.”
Ohio State University (11/6/1999) at
http://www.naturalworldtours.co.uk/article/november61999g.stm

Sound Anaysis Software
 For a very comprehensive website on software for bioaccustics, as
well as links to computer hardware considerations, refer to 
http://eebweb.arizona.edu/faculty/hopp/sound.html#anim .
 “For people trying to decide on a system or software my suggestion
would be to clearly answer three main questions: First, what exactly
is my research question, and what type(s) of procedures will I need a
system to perform? Second, what hardware do I currently have, and what
might I need to change/add/upgrade? (most of the software listed below
will work with a wide variety of sound cards). Third, what am I
willing/able to pay? Having balanced those three major variables in
the equation is probably the best starting point. Having answered
those questions, you can then look for resources that address
particular needs. Or select a few that seem reasonable, and e-mail
specific questions to whomever hosts the site.”
  “For those who need a opening primer of computer-sound hardware and
software I suggest you begin with the first few links listed under
General Audio Reference and Resource Sites below. These give a good
introduction to the hardware involved in sound acquisition and
replication, and introductory information for related topics.”
 ***Scroll down the entire page for a wealth of links and
information***

 The Borror Laboratory of Bioacoustics at Ohio State University is a
good resource for recording equipment and any questions you may have.
http://blb.biosci.ohio-state.edu/  Contact information is located on
the website.

 The Bioacoustics Research Program at Cornell University,
http://birds.cornell.edu/BRP/ , has great links on their website for
sound recording hardware and software programs used for research.
  http://birds.cornell.edu/BRP/Popup.html 
  http://birds.cornell.edu/BRP/ARUTerrestrial.html 

Contact:
 Bioacoustics Research Program, Cornell Lab of Ornithology
159 Sapsucker Woods Rd, Ithaca, NY 14850
 phone 607-254-2408; fax 607-254-2439 

Tips for conducting your own research:
  Since you were not specific on what your research specifically
entails, other than an interest in bird vocalization species
recognition in the field, that is a hard aspect of your question to
answer.
Therefore, all I can suggest is that you analyze the various research
projects being conducted in major universities and wildlife
organizations dealing with bird populations. For example, Cornell has
several research projects listed on their website at
http://birds.cornell.edu/BRP/ResBird.html
 Another suggestion is to go through the links on the Bioacoustics
site hosted by Ohio State University at
http://blb.biosci.ohio-state.edu/bioacoustics_links.htm
  You can also peruse through various ornithology-related journals for
ideas….if you need more direction. The website at
http://biology.queensu.ca/~mennilld/links.html#Bird%20Sounds  has a
wealth of journal links, but access to most is forbidden without a
subscription.
  Another way to get further ideas and directions for research is to
sort through the research job listings posted at “Ornithological Jobs:
Positions and Opportunities Available Online” at
http://birds.cornell.edu/OSNA/ORNJOBS.htm

Variations in bird vocalizations
 Research reveals there are differences in same-species bird songs
based on location! (Now there is some interesting research!)
  The article “Birds: Avian accents appear in their songs,” by Stan
Freeman. Union News (1/25/1999) at
http://www.masslive.com/news/hf/feed/daily/ae123bir.html  reveals that
variations in bird songs of the same species can differ even within a
few miles of separation.
 “Using computer analysis of recorded bird songs, ornithologists at
the University of Massachusetts and elsewhere are finding that most
birds, from chestnut-sided warblers to indigo buntings, have subtle or
even pronounced differences in the way they deliver their songs based
on where they live”.
 “Sometimes, as they've found in Massachusetts, the songs can differ
over just a few miles.”
 "One great example is the black-capped chickadee which has a
different song on Martha's Vineyard than it does on the mainland,"
said Bruce E. Byers, a UMass ornithologist who primarily studies the
songs of warblers.”
 “The chickadee's song may sound like "Hey sweetie!" And in most
places in the United States where chickadees are found, the first note
of the song is higher than the second. But on the Vineyard, both
"words" are delivered using a note of the same pitch, he said.”
  “It has been known for perhaps the last 50 years that the songs of
birds do have geographic variations, but computers have helped to show
just what those subtle differences are. Ornithologists can create a
"sonogram" of a bird's song that graphically shows the frequency and
duration of the notes”
 "It's only been in the last decade that we could do it rapidly using
a sufficiently powerful computer. We can do it in real time so that we
can play a song and see what it looks like at the same time," Byers
said.
 Read the entire article for more fascinating information!
 
Additional information:
  A fascinating article about the correlation between bird songs and
music has some extremely interesting insights for those interested in
bird vocalizations.
 “One major disadvantage of recording bird vocalizations (regardless
of whether the medium is pen and paper, computer graphics or a sound
record) is that it standardizes the samples at hand. Deviations from
the standard tend to be relegated out of sight. This may apply to
differences within the individual: day to day variation; development
of singing during a season; the way a bird may have to build up a new
repertory after moulting. On the other hand it may apply to
differences between individuals: older birds can display expertise
exceeding that of younger ones by far; some individuals have a more
variegated repertory than others; a keen ear might even detect
differences in the basic timbre (clarity vs. hoarseness); birds may
adapt their song to the characteristics of their habitat; in their
song birds may show regional dialects. Another shortcoming of
recording bird sounds is that it usually treats the items in
isolation. This is obvious in the case of notation, but even sound
records often focus on individual species. Singling out one bird at a
time, sonic field guides aim at helping enthusiasts to recognize
separate species, rather than at the appreciation of a total sound
image and the interplay going on in it.”
 “Every bird sings and calls within a context. On the one hand that of
its own motivations. It may sing to define its territory acoustically,
to attract a female. Young Blackbirds perform singing exercises. There
are species that sometimes sing for no apparent reason at all, just
for the fun of it. There are various types of warning signals. On the
other hand, one doesn't hear birds in isolation. Blackbirds remain
within hearing range of each other. As a result several individuals
are often audible at the same time, but other bird species as well;
and insects, and the rustling of leaves - the whole environment
sounds.”
 “What's more, listening to a number of Blackbirds one cannot but
conclude that each listens to the others, spacing its song in a way
that enables the others to fill in phrases, sometimes mimicking those
others or even other species - reminiscent of weaving patterns,
patterns of call and response. These animals adjust their song to the
circumstances.”
  Read “Songs Soaring (or do birds read music?),” by Rene van Peer.
World Forum for Accoustic Ecology. (7/21/1994) at
http://interact.uoregon.edu/MediaLit/WFAE/readings/Natsound/Songs.html

For what it’s worth: (It might be worth a call to find out about their
software)
 From the University of Victoria, Dept. of Linguistics at
http://web.uvic.ca/ling/research/phonetics.htm
  “In addition to the auditory, articulatory and acoustic study of
human speech, research projects in the lab have studied bird, seal and
whale vocalizations. Lab software and courseware has been developed in
close cooperation with the C.A.L.L. Facility for language learning and
with Speech Technology Research Ltd.”

 Your question has many aspects, and I have tried to cover all the
bases with the information you have provided. It sounds like you have
some fun and interesting work ahead of you! The information above
should be helpful, but please don’t hesitate to ask if you need
further clarification.

umiat-ga

Google Search Strategy
analyzing bird vocalizations technology
voice recognition technology bird calls  
+real time +analysis of bird songs
analyzing field vocalizations of birds

Clarification of Answer by umiat-ga on 07 Nov 2002 01:00 PST
birdbrain-ga,

   I wanted to add one interesting reference specifically referring to
the development of algorithms in relation to bird vocalizations. The
article “Listening for the Call of a Vanished Bird,” (3/5/2002) at 
http://senrs.com/listening_for_the_call_of_a_vanished_bird.htm is an
overview of Cornell Lab of Ornithology’s attempt to develop
“algorithms that try to match particular sounds, or actually,
particular patterns of data” of bird vocalizations. In this case, the
bird in question is the Ivory Billed Woodpecker, which is thought to
be extinct by many, but not with absolute certainty. When a sighting
was reported by a Louisiana State graduate student in 1999, Cornell
became involved by strapping an “autonomous recording unit” to the
side of a tree to “listen” for the sounds of the Ivory Bill.
  “Any moderately experienced birder who had listened to recorded
calls of ivory bills could recognize one. But pattern recognition is a
human specialty. It puts great strains on software. The bioacoustics
researchers are still working out the filtering algorithms that they
will use.”
 “After the computer program has finished its filtering, humans will
start working, first visually scanning small spectrographs on a
computer screen to discard ones that are obviously off the mark and
then finally listening to the sounds that fit the ivory bill model.”
 “Dr. Fristrup said he was not sure how long the work would take, one
to three months, perhaps. But he said he thought that the results
would be clear, adding: "I've never looked for an extinct bird before.
But I don't think this will be ambiguous."
  Read the entire article for a fascinating overview!

  umiat

Clarification of Answer by umiat-ga on 07 Nov 2002 08:59 PST
Just a few more important articles! 

 “Techniques for Audio Recording Vocalizations of Tropical Birds,” by
Gregory F. Budney and Robert W. Grotke. Library of Natural Sounds,
Cornell Laboratory of Ornithology, Ithaca, New York 14850 at
http://birds.cornell.edu/lns/recordingnature/html/recordingnature_techequip2.html
  “This paper discusses essential and effective criteria that can be
used to select a recording system based upon research goals and
financial resources.”

  “Field Recording Equipment” at
http://birds.cornell.edu/lns/recordingnature/html/recordingnature_techequip1.html
  Extremely comprehensive articel discussing equipment options,
providing contact information, resources, and further reading lists.

 Read a transcription about this ongoing debate at
http://cetus.pmel.noaa.gov/ABminidisc.txt
   “This debate, on BIOACOUSTICS-L@cornell.edu, started with some
questions about the usefulness of minidisc (MD) recordings. In the
past, professional wildlife sound recordists have shied away from
minidiscs, as they use "lossy compression", which removes some of the
information present in a sound signal.But MD recordings, especially
ones made with the newer ATRAC version 4 compression technology, are
said sound to fine to human listeners, and may
now be good enough for other uses as well.
The subject of the debate here: 
Does minidisc compression compromise the scientific (and other
specialized) uses of recorded sound?  The debate was started by a
question, unfortunately not saved, about whether minidiscs are good
for wildlife recordings.

 umiat

Search terms
algorithms bird vocalizations

Request for Answer Clarification by birdbrain-ga on 07 Nov 2002 15:25 PST
Thanks for your quick and thorough response, umiat-ga!  I am looking
forward to reading these papers more myself.  While you gave a good
overview from the biological/birding perspective, I was hoping to
attract an answer more from the perspective of computer science, i.e.
voice recognition technologies.  Therefore, I posted the question
under the category of Computers > Algorithms.  I'll rephrase the voice
recognition part of my question:

How can existing voice recognition algorithms (which may use Hidden
Markov Models (HMM's) and/or Neural Networks, etc.) be applied to the
problem of automatically recognizing and identifying bird species in
the field by their vocalizations?

Clarification of Answer by umiat-ga on 07 Nov 2002 23:27 PST
Hello agian, birdbrain-ga!
 
 Your original question had numerous components, with the major thrust
revolving around whether analysis of bird vocalizations in the field
could enable discernment of specific species of birds. I pointed you
to references which answered that question in detail, as well as
answering all other aspects of your question, which involved “research
done thus far, by whom, field recording technologies currently being
used that are considered most appropriate, variances and
species-specific aspects of bird vocalizations, challenges in
gathering and evaluating data, types of hardware and software,
recording equipment, etc. being used, ideas for investigating further
research avenues, and numerous contacts,” both by name and through
websites.
 
 The further clarification you have requested poses an entirely new,
and very specific question which is beyond the scope of the original.
I understand your desire to examine this one aspect in far greater
detail, but I recommend that you pose it as a separate question to be
answered with entirely different attention to direction and detail. A
researcher who is very knowledgeable in algorithms might be able to
tackle this very individualized, and specific question.
 
  It is evident from the articles referenced in my original answer
that the field of bioacoustics is still an emerging technology, and
there is a great need for researchers to develop filtering algorithms
beyond the scope of those used for human voice recognition. The
following excerpts from articles referenced in my answer are examples,
but most of the other articles also deal with bioacoustic recordings
and further point out the extra steps being taken to “add to”
traditional human voice recognition technology.
  “Recording devices that use data compression schemes or other
algorithms designed for human speech or music can severely alter
recorded vocalizations of birds. See Figure 1 of “Techniques for Audio
Recording Vocalizations of Tropical Birds at
http://birds.cornell.edu/lns/recordingnature/html/recordingnature_techequip2.html
 “Any moderately experienced birder who had listened to recorded calls
of ivory bills could recognize one. But pattern recognition is a human
specialty. It puts great strains on software. The bioacoustics
researchers are still working out the filtering algorithms that they
will use.” http://senrs.com/listening_for_the_call_of_a_vanished_bird.htm

  As an alternative to posting your additional request as another
question, I suggest you look at the enormous list of researchers
dealing with various aspects of wildlife bioacoustics at
http://cetus.pmel.noaa.gov/ABcommunity.html#D . It will take some time
to scroll through the list, but contacting certain researchers
individually might get you technical details you want to pinpoint
further.
 Another quick alternative might be a phone call to the Ornithology
Lab at Cornell. They may be able to point you to a computer specialist
within their Department who is working directly with current
technologies to record and analyze bird vocalizations.

 Thank you for the opportunity to answer your original question. You
are involved in a very intriguing and wonderful field of study.

 
 umiat-ga
birdbrain-ga rated this answer:4 out of 5 stars
A belated thank you!

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