Our sensors have been placed in locations around New York City gathering anonymized recordings for up to two years. These recordings have provided us a huge amount and variety of audio data. We need your help to identify and label the different sounds in these recordings. We will present you with a series of 10-second segments of urban audio, and ask that you identify the different sounds present in each segment, from a list of up to 30 classes derived from the New York City Noise Code. This will provide ground truth for training data, so that we can effectively operationalize this resource, and tackle one of the biggest quality of life challenges facing urban citizens.
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