Bird Song Id: Auto Recognition
8.2 30
v12 by Sunbird Images OHG
價格:$5.49
關於 Bird Song Id: Auto Recognition
Bird Song Id: Auto Recognition（包名：com.isoperla.birdsongid）開發者是Sunbird Images OHG，Bird Song Id: Auto Recognition的最新版本v12更新時間為2017年02月05日。Bird Song Id: Auto Recognition的分類是圖書與參考資源。您可以查看Bird Song Id: Auto Recognition的開發者下的所有應用並找到Bird Song Id: Auto Recognition在安卓上的29個相似應用。目前該應用價格為$5.49。該應用可以從APKPure.fo或Google Play下載到4.0.3 and up。apkpure.fo的所有APK/XAPK文檔都是原始文檔並且100%安全下載的資源。
The original and the best, accept no cheap imitations !
Record a bird singing and use Automatic Recognition to help identify it.
Unlike other apps, no internet or mobile connection is needed.
Top of its class, Bird Watching Magazine rated it 9 out of 10 saying it is remarkably accurate.
Copied by a few, bettered by none, Bird Song Id is three years ahead of anyone else in this field !
The Times Newspaper said the app "Does what it says on the tin" and were amazed that "this astonishing piece of software costs about the same as a cup of coffee".
The Telegraph Newspaper said "Bird Song Id is a good walk improved, and may even put a spring in your step".
Bird Song Id helps you identify a wide variety of birds of the British Isles by their songs and calls.
Automatic Recognition takes place on the device, no connection to the internet or mobile network is needed.
Automatic Recognition is a little like Shazam for birds.
Great for identifying warbler, finch, sparrow, thrush, flycatcher and many other types of songbird.
Automatic Recognition needs good quality recordings to work well. See the help below, or follow the Developer Website link to find out how to improve your recordings.
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%.
Follow the Developer Website link to see a demo of Bird Song Id Automatic Recognition on YouTube
--------------- HELP ----------------
Automatic Recognition needs a good quality recording of the bird.
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.
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 Audio Quality, shown at the top of the results screen, should be at least Good, and preferably Very Good or Excellent
The highest Bird Song Id score should be above 70% 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
Make sure it is very quiet apart from the bird song which should be nice and loud
Be as close to the bird as you can be without disturbing it
Be patient, dont expect miracles, the system works but needs good clear recordings
The microphone is often at the bottom of a device, point the microphone towards the bird
Remove the case from your device if you use one as this can dampen the microphone
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. 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
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 in the natural environment. Particularly true for finch and warbler recordings.
Some devices, particularly larger tablets, do not have good microphones built in to them. This will result in a lot of background hiss that will cause Automatic Recognition to fail. Better external microphones are usually available for these devices.
Get to know the warble of a warbler, the chatter of a finch, the chirp of a sparrow, the song of a blackbird etc etc !
Record a bird singing and use Automatic Recognition to help identify it.
Unlike other apps, no internet or mobile connection is needed.
Top of its class, Bird Watching Magazine rated it 9 out of 10 saying it is remarkably accurate.
Copied by a few, bettered by none, Bird Song Id is three years ahead of anyone else in this field !
The Times Newspaper said the app "Does what it says on the tin" and were amazed that "this astonishing piece of software costs about the same as a cup of coffee".
The Telegraph Newspaper said "Bird Song Id is a good walk improved, and may even put a spring in your step".
Bird Song Id helps you identify a wide variety of birds of the British Isles by their songs and calls.
Automatic Recognition takes place on the device, no connection to the internet or mobile network is needed.
Automatic Recognition is a little like Shazam for birds.
Great for identifying warbler, finch, sparrow, thrush, flycatcher and many other types of songbird.
Automatic Recognition needs good quality recordings to work well. See the help below, or follow the Developer Website link to find out how to improve your recordings.
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%.
Follow the Developer Website link to see a demo of Bird Song Id Automatic Recognition on YouTube
--------------- HELP ----------------
Automatic Recognition needs a good quality recording of the bird.
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.
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 Audio Quality, shown at the top of the results screen, should be at least Good, and preferably Very Good or Excellent
The highest Bird Song Id score should be above 70% 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
Make sure it is very quiet apart from the bird song which should be nice and loud
Be as close to the bird as you can be without disturbing it
Be patient, dont expect miracles, the system works but needs good clear recordings
The microphone is often at the bottom of a device, point the microphone towards the bird
Remove the case from your device if you use one as this can dampen the microphone
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. 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
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 in the natural environment. Particularly true for finch and warbler recordings.
Some devices, particularly larger tablets, do not have good microphones built in to them. This will result in a lot of background hiss that will cause Automatic Recognition to fail. Better external microphones are usually available for these devices.
Get to know the warble of a warbler, the chatter of a finch, the chirp of a sparrow, the song of a blackbird etc etc !
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Bird Song Id: Auto Recognition 資訊
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Bird Song Id by Isoperla
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更新日期:
2017-02-05
最新版本:
v12
請求更新:
系統要求:
4.0.3 and up
舉報:
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