Audio Analytic sponsors DCASE 2018

DCASE (Detection and Classification of Acoustic Scenes and Events) is the world’s leading peer-based sound recognition community, encouraging academia and industry to collaborate and share research on the detection and classification of acoustic scenes and events.

DCASE (Detection and Classification of Acoustic Scenes and Events) is the world’s leading peer-based sound recognition community, encouraging academia and industry to collaborate and share research on the detection and classification of acoustic scenes and events.

The group hosts an annual workshop and challenge. This year’s DCASE 2018 workshop is being hosted at WWF Living Planet Centre, 19th – 20th November, in Surrey, UK. The workshop brings together researchers from many different universities and companies worldwide, with interest in the topic of sound recognition, and provide the opportunity for scientific exchange of ideas and opinions. The technical program will include invited speakers on the topic of computational everyday sound analysis and recognition, and oral and poster presentations of accepted papers.

“Sound recognition is a relatively new field of commercial and academic focus, which is why communities like DCASE are so important to all of us working at the bleeding edge. In particular, the now annual workshop and challenge provide us all with the opportunity to meet and share opinions, ideas and research. It is an opportunity to establish a fair comparison between the most promising new techniques, thus fostering global leadership within such an exciting and fast-paced area of technology. Besides, a friendly bit of competition through the challenge can’t be a bad thing” comments Sacha Krstulovic, Audio Analytic’s Director of AALabs (the company’s R&D division), and member of the DCASE steering group.

“We are very proud to sponsor this year's event and we look forward to attending the workshop.”

Dr Sacha Krstulovic, Director of AA Labs

If you are a researcher that is interested or are working on aspects of environmental sound classification and detection, you can join the DCASE community.

 



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