SOLAR: Sound Object Localization and Retrieval in Complex Audio Environments
Our goal is to detect and identify sound objects, such as car horns or dog barks, in audio. Our system, called SOLAR (sound object localization and retrieval) is the first, to our knowledge, that is capable of finding a large variety of sounds in audio data from movies and other complex audio environments. Our approach is to perform a windowed scan over audio data and classify each window using a cascade of boosted decision tree classifiers. See the presentations section for a good overview of our system. This work is performed by Derek Hoiem, Yan Ke, and Rahul Sukthankar and is supported by Intel Research Pittsburgh.
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