Bird Song Id USA Automatic Rec

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In short

Bird Song Id USA Automatic Rec is an Android app from Isoperla.


This app is one of the best apps on Google play

Includes Automatic Recognition to help identify bird song

The recording option is most helpful in identifying the bird

This is definitely a great app worth downloading and testing out

Very unique app with tons of useful information

They are clear and beautiful sounds

It may seem a little bit costly but it worth its price

My biggest disappointment is the data base too small

I click on it and it makes a weird sound


Identify birds of the eastern states by their songs and calls with Bird Song Id. Includes Automatic Recognition to help identify bird song. Make your own bird song recordings and keep a bird song diary. Bird Song Id is the most functional Bird Song app on the market by far. Have you ever heard a bird singing and wondered "What kind of bird is that?". Bird Song Id is a great tool to help you learn to quickly and easily identify birds by their songs and calls. Its great fun to use too. With Bird Song Id, identification can be enjoyed by the whole family. Bird Song Id has been created by professional published ecologists. The app does not need an internet connection, all songs and calls are downloaded when the app is purchased, one hundred and eighteen species are included. We have included an early version of Automatic Recognition in the app for you to try. We hope this feature will help you identify common bird species. However, it needs a good quality recording to work, and takes a bit of time and patience to get used to. Automatic Recognition takes place on the device, no connection to the internet or mobile network is needed. How successful is it ? Our aim is to get the correct bird in the top three of those listed. In our testing of over 1,000 samples we found the success rate of Bird Song Id to be 85%. Remember this is an early release of this innovative feature, so please be gentle. A demo is available on YouTube. --------------- HELP ---------------- Automatic Recognition needs a good quality recording of the bird ------------- Remove the case from your device if you use one as this will significantly dampen the microphone ------------- Only record when it is very quiet, apart from the bird singing of course ------------- Be close to the bird singing, as close as you can be without disturbing it ------------- Only record when a single bird is singing, or when a single bird is dominant ------------- The analysis graph should have plenty of blue and green colors with few or no black peaks ------------- Be patient, dont expect miracles, the system works but needs good clear recordings ------------- The peaks on the Bird Song Id graph should reach all the way to the top. Low peaks indicate poor quality and recognition is unlikely ------------- The highest score should be above 80% to be useful. Below this and the system is telling you it is not sure what the song is ------------- A difference between two birds of less than 10% is not that significant, so listen to the samples from both to help you further ------------- See the samples for how the analysis graph should look ------------- Find the microphone on your device, point it towards the bird ------------- Record a single bird at a time ------------- Capture at least two singing episodes if you can ------------- Record for the full 30 seconds ------------- Avoid windy conditions when using Bird Song Id. Air moving over the microphone will mask the bird sounds ------------- Make sure there is plenty of life in the battery. Your device will reduce power going to the microphone as the battery runs down ------------- Some devices such as large tablets have poor microphones and an external mic may be needed to get good quality recordings ------------- Playing songs to the app from recorded material on the internet, other apps or CDs is unlikely to work as this material is digitally processed and edited (inter phase gaps are often shortened). They sound very different to recording birds for real on an iPhone or iPad in the natural environment. -------------

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