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Song Scope software automatically detects and identifies birds, frogs, and other wildlife vocalizations in field recordings using sophisticated patent-pending digital signal processing algorithms.
Field biologists can use Song Scope to easily and efficiently analyze long field recordings made by autonomous recording devices to study population density, migration patterns and the behavior of specific wildlife species.
Song Scope is easy to use and does not require expertise in digital signal processing, mathematics or statistics.
Start with your own recordings of the vocalizations you are interested in studying. This is the "training data" used to teach Song Scope how to recognize a new vocalization. With Song Scope, you can quickly listen to portions of these recordings and label them with "annotations".
In this example, three Blue Jay vocalizations can be seen in a relatively noisy recording. Click on the image for a larger view.
Next, Song Scope builds a "recognizer" by analyzing the annotated recordings you provide. In this example, a recognizer is constructed from the same Blue Jay vocalizations shown above and from one other recording of a second Blue Jay. The known vocalizations are "imported" into Song Scope, and you can adjust a handful of parameters to guide Song Scope's algorithms for better results. At the push of the "Generate Recognizer" button, Song Scope automatically analyzes the selected vocalizations to build a "recognizer" using Song Scope's unique and patent-pending algorithms. Click on the image for a larger view.
Finally, you can use the "recognizer" generated above to quickly scan new recordings for similar vocalizations by pushing the "Start Scan" button. In this example, 14 likely Blue Jay vocalizations are automatically detected and identified with results displayed in the table. With sufficient training data, Song Scope is over 80% accurate for even complex and highly variable vocalizations and relatively noisy environments.
For more details, you can browse through Song Scope's documentation. You may also be interested in reading our report "Automatic Detection of Cerulean Warblers" featuring Song Scope software in a demonstration deployment for the U. S. Forest Service San Dimas Technology and Development Center in cooperation with the Cornell Lab of Ornithology Bioacoustics Research Program.
Try Song Scope for 15 days at no charge
Copyright © 2005-2008 Wildlife Acoustics, Inc. All Rights Reserved. Wildlife Acoustics and Song Sleuth are registered in the U.S. Patent and Trademark Office. Song Scope, Song Meter and Digital Birdsong Detective are trademarks of Wildlife Acoustics, Inc. Microsoft and Windows are either registered trademarks or trademarks of Microsoft Corporation in the United States and/or other countries. Apple and Mac OS are registered trademarks of Apple Computer, Inc. All other trademarks are the property of their respective owners. Patents pending.