Featured Research

from universities, journals, and other organizations

Birdsongs automatically decoded by computer scientists

Date:
July 17, 2014
Source:
Queen Mary, University of London
Summary:
Scientists have found a successful way of identifying bird sounds from large audio collections, which could be useful for expert and amateur bird-watchers alike.

Yellow warbler (Dendroica petechia) singing.
Credit: Steve Byland / Fotolia

Scientists from Queen Mary University of London have found a successful way of identifying bird sounds from large audio collections, which could be useful for expert and amateur bird-watchers alike.

The analysis used recordings of individual birds and of dawn choruses to identify characteristics of bird sounds. It took advantage of large datasets of sound recordings provided by the British Library Sound Archive, and online sources such as the Dutch archive called Xeno Canto.

Publishing in the journal PeerJ, the authors describe an approach that combines feature-learning -- an automatic analysis technique -- and a classification algorithm, to create a system that can distinguish between which birds are present in a large dataset.

"Automatic classification of bird sounds is useful when trying to understand how many and what type of birds you might have in one location," commented lead author Dr Dan Stowell from QMUL's School of Electronic Engineering and Computer Science and Centre for Digital Music.

Dr Stowell was recently awarded a five-year fellowship from the Engineering and Physical Sciences Research Council (EPSRC) to develop computerised processes to detect multiple bird sounds in large sets of audio recordings.

"Birdsong has a lot in common with human language, even though it evolved separately. For example, many songbirds go through similar stages of vocal learning as we do, as they grow up, which makes them interesting to study. From them we can understand more about how human language evolved and social organisation in animal groups," said Dr Stowell.

He added: "The attraction of fully automatic analysis is that we can create a really large evidence base to address these big questions."

The classification system created by the authors performed well in a public contest using a set of thousands of recordings with over 500 bird species from Brazil. The system was regarded as the best-performing audio only classifier, and placed second overall out of entries from 10 research groups in the competition.

The researchers hope to drill down into more detail for their next project.

Dr Stowell says, "I'm working on techniques that can transcribe all the bird sounds in an audio scene: not just who is talking, but when, in response to whom, and what relationships are reflected in the sound, for example who is dominating the conversation."


Story Source:

The above story is based on materials provided by Queen Mary, University of London. Note: Materials may be edited for content and length.


Journal Reference:

  1. Stowell D, Plumbley MD. Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning. PeerJ, 2014 DOI: 10.7717/peerj.488

Cite This Page:

Queen Mary, University of London. "Birdsongs automatically decoded by computer scientists." ScienceDaily. ScienceDaily, 17 July 2014. <www.sciencedaily.com/releases/2014/07/140717094937.htm>.
Queen Mary, University of London. (2014, July 17). Birdsongs automatically decoded by computer scientists. ScienceDaily. Retrieved October 22, 2014 from www.sciencedaily.com/releases/2014/07/140717094937.htm
Queen Mary, University of London. "Birdsongs automatically decoded by computer scientists." ScienceDaily. www.sciencedaily.com/releases/2014/07/140717094937.htm (accessed October 22, 2014).

Share This



More Plants & Animals News

Wednesday, October 22, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Cadaver Dogs Aid Search for More Victims of Suspected Indiana Serial Killer

Cadaver Dogs Aid Search for More Victims of Suspected Indiana Serial Killer

Reuters - US Online Video (Oct. 21, 2014) Police in Gary, Indiana are using cadaver dogs to search for more victims after a suspected serial killer confessed to killing at least seven women. Linda So reports. Video provided by Reuters
Powered by NewsLook.com
White Lion Cubs Unveiled to the Public

White Lion Cubs Unveiled to the Public

Reuters - Light News Video Online (Oct. 21, 2014) Visitors to Belgrade zoo meet a pair of three-week-old lion cubs for the first time. Tara Cleary reports. Video provided by Reuters
Powered by NewsLook.com
'Cadaver Dog' Sniffs out Human Remains

'Cadaver Dog' Sniffs out Human Remains

AP (Oct. 21, 2014) Where's a body buried? Buster's nose can often tell you. He's a cadaver dog, specially trained to find human remains and increasingly being used by law enforcement and accepted in courts. These dogs are helping solve even decades-old mysteries. (Oct. 21) Video provided by AP
Powered by NewsLook.com
White Lion Cubs Born in Belgrade Zoo

White Lion Cubs Born in Belgrade Zoo

AFP (Oct. 20, 2014) Two white lion cubs, an extremely rare subspecies of the African lion, were recently born at Belgrade Zoo. They are being bottle fed by zoo keepers after they were rejected by their mother after birth. Duration: 00:42 Video provided by AFP
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:

Strange & Offbeat Stories


Plants & Animals

Earth & Climate

Fossils & Ruins

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile: iPhone Android Web
Follow: Facebook Twitter Google+
Subscribe: RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins