{"id":368,"date":"2017-07-25T23:47:44","date_gmt":"2017-07-25T20:47:44","guid":{"rendered":"http:\/\/grechka.family\/dmitry\/blog\/?p=368"},"modified":"2017-07-25T23:49:10","modified_gmt":"2017-07-25T20:49:10","slug":"xeno-canto-top-30-european-birds","status":"publish","type":"post","link":"https:\/\/grechka.family\/dmitry\/blog\/2017\/07\/xeno-canto-top-30-european-birds\/","title":{"rendered":"Xeno Canto top 30 European birds"},"content":{"rendered":"

My current hobby is creation of Shazam like service for bird songs. I started with looking for a birds songs dataset. Fortunately there is a Xeno Canto<\/a> site which is crowd-sourcing platform for building up bird songs and calls database.<\/p>\n

I decided to start with classification of 30 most commonly recorded European birds<\/a>.<\/p>\n

<\/p>\n

The Xeno Canto data<\/h2>\n

Through Xeno Canto API<\/a> I downloaded all available top quality recording for these 30 birds (9875 separate mp3 files 20Gb in total).<\/p>\n

Some peculiarities<\/h4>\n

\"Great<\/p>\n

The most common species among top quality recording is Great Tit. It has 903 files with total duration of more than 13 hours.<\/p>\n

\"Common<\/p>\n

 <\/p>\n

 <\/p>\n

 <\/p>\n

The longest total duration of the recordings holds Common Blackbird with more than 27 hours of recordings.<\/p>\n

 <\/p>\n

\"Marsh<\/p>\n

The longest single recording (1 hour 18 minutes) is Marsh Warbler recorded by Volker Arnold<\/a> in Heide, Germany.<\/p>\n

 <\/p>\n

 <\/p>\n

 <\/p>\n

The shortest single recording is of 0.764 seconds (Red Crossbill).
\nThe average duration of the recording is 1 min 35 seconds.
\n95% of the files are shorter then 4:10.
\nAnd 1% of the files are longer then 9:45.<\/p>\n

Some technical details<\/h4>\n

All of the files are mp3.<\/p>\n

They vary in sampling rate. The most abundant is 44.1 kHz.<\/p>\n

\"xeno<\/a><\/p>\n

Most of the files are stereo while some are not.<\/p>\n

\"\"<\/a><\/p>\n

The findings<\/h4>\n

The API does not provide an ability to extract other species that may present within each recording, however site itself give that ability. It’s a pity because it could bring serious impediments to the machine learning process. Hope, I’ll find the way to cope with it.<\/p>\n","protected":false},"excerpt":{"rendered":"

My current hobby is creation of Shazam like service for bird songs. I started with looking for a birds songs dataset. Fortunately there is a Xeno Canto site which is crowd-sourcing platform for building up bird songs and calls database. I decided to start with classification of 30 most commonly recorded European birds.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[10,2,49],"tags":[],"class_list":["post-368","post","type-post","status-publish","format-standard","hentry","category-data","category-hobby","category-machine-learning"],"yoast_head":"\nXeno Canto top 30 European birds - Dmitry A. 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