Acoustic Scene Classification: Classifying environments from the sounds they produce

  title={Acoustic Scene Classification: Classifying environments from the sounds they produce},
  author={Daniele Barchiesi and Dimitrios Giannoulis and Dan Stowell and Mark D. Plumbley},
  journal={IEEE Signal Processing Magazine},
In this article, we present an account of the state of the art in acoustic scene classification (ASC), the task of classifying environments from the sounds they produce. Starting from a historical review of previous research in this area, we define a general framework for ASC and present different implementations of its components. We then describe a range of different algorithms submitted for a data challenge that was held to provide a general and fair benchmark for ASC techniques. The data… CONTINUE READING
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