There have been apps for a long time that are able to identify songs by
"listening" and analysing so the technology well and truly exists. The
issues are around data (recordings). With songs there is no shortage of
versions of the song that can be compared against, and there is no shortage
of duration of music - if you've ever used "Shazam" you will know that some
songs are identified almost immediately, whereas some songs take a
considerable amount of time (up to about a minute) before the app can
identify it. Obviously background noise can make this more difficult. The
significant problem with bird calls is the lack of recordings available to
be used for call matching. I am assuming that the developers of the app have
not been travelling from country to country with recording gear (otherwise
the app would cost ever so slightly more than $5.99), so they must be using
public domain or royalty-free licenced recordings - presumably sourced from
xeno-canto or similar. Whilst there is probably no shortage of calls
available for the more common species, the less common ones will have very
few calls publically available.
As Neil says, provision of feedback to the app developers and, presumably,
the making available of calls for comparison purposes, would greatly benefit
the enhancement of the app.
Paul Dodd
Docklands, Victoria
-----Original Message-----
From: Birding-Aus On Behalf Of
Sandra & Neil Shelley
Sent: Saturday, 23 July 2016 10:37 AM
To: Peter Shute <>
Cc: birding-aus <>
Subject: Birdsong app
It claims to identify 25 species, but it looks like there are about 125 in
the app, so perhaps they have added some more recently.
Automatic recognition is undergoing ongoing refinement, so I think it is
worth experimenting with and providing feedback so that they can improve it.
As others have noted, the interface could be simplified, but that is not a
major concern at the moment.
On 22 July 2016 at 18:08, Peter Shute <> wrote:
> How many species does it claim to identify, Neil?
>
> Peter Shute
>
> Sent from my iPad
>
> On 22 Jul 2016, at 5:23 PM, Sandra & Neil Shelley
> < <>> wrote:
>
> Hi All,
>
> There is an Australian version of the Bird Song Id app (
> https://itunes.apple.com/au/app/bird-song-id-australia-automatic/id107
> 9325343?mt=8) and it costs AU$5.99 - quite reasonably priced in my
> opinion - can't comment on the functionality of it as I haven't tried
> it the field yet!
>
> Neil Shelley
>
> On 22 July 2016 at 16:10, Dave Torr <<mailto:
> >> wrote:
> I would assume that the actual development would not be huge. If
> designed well the main issue as Peter says would be to include a set
> of Aussie calls instead of the existing set. As I haven't looked at
> the app not sure if there would need to be many other changes?
> On 22 Jul 2016 9:58 a.m., "Peter Shute" <<mailto:
> >> wrote:
>
> > Surely the most efficient way to make that kind of app available is
> > to persuade the authors of warblr, etc, to produce an Australian
> > version by offering funding and probably more importantly, sample
recordings.
> >
> > That said, do you have access to a collection of recordings, S.
Mitchell?
> > Just listening to them helps one learn much faster than learning in
> > the field.
> >
> > Peter Shute
> >
> > Sent from my iPhone
> >
> > > On 22 Jul 2016, at 1:20 AM, Carl Clifford <
> <>>
> > wrote:
> > >
> > > Great idea, but who is going stump up the money for it. Perhaps it
> could
> > be
> > > croud sourced?
> > >
> > >> On Thursday, July 21, 2016, mitch Mitchell
> > >> <
> <>>
> > wrote:
> > >>
> > >> Hello, there is no reason that Australia could not have a
> > >> Birdsong
> app.
> > >> There are already two for the British Birds, so may be someone
> > >> could instigate an app for Australia?
> > >> As some one with a poor memory and little knowledge of Birds
> > >> here, I would certainly get it
> > >>
> > >>
> >
> https://itunes.apple.com/gb/app/bird-song-id-automatic-recognition/id6
> 01362210?mt=8
> > >> https://warblr.net
> > >> http://www.chirpomatic.com/
> > >> I hope that helps your members, and that they can help get an app
> made!
> > >> Best Regards
> > >> S. Mitchell
> > >> <HR>
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