We are excited to announce that for the fourth year running we are sponsoring the DCASE Workshop, alongside Apple, Hitachi, Mitsubishi Electric and others.

This year’s annual workshop and challenge are being hosted virtually, with the DCASE workshop taking place on the 2nd – 3rd November 2020.

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 workshop programme includes an exciting line-up of speakers, poster presentations of accepted papers and a separate poster session dedicated to the DCASE challenge entries.

DCASE invite submissions on topics of computational analysis of acoustic scenes and sound events. Further information and important dates can be found here.

We proudly sponsor the DCASE Workshop, as it plays an important part in bringing together the community of researchers from many different universities and companies worldwide, with interest in the topic of sound recognition, and provides the opportunity for the exchange of ideas and opinions. We were also proud to contribute towards the DCASE Challenge earlier this year, when DCASE included our Polyphonic Sound Detection Score (PSDS) as one of the two evaluation metrics for ‘Task 4: Sound event detection and separation in domestic environments’, which you can read about here.

“Sound recognition has now gone from ‘missing piece of the perceptual AI puzzle’ to ‘must have technology’. A broader sense of hearing, beyond just speech, is delivering real value to consumers and this is made possible by building on new techniques of the type researched and developed by the DCASE community. In order to foster useful research, the definitions of public research tasks and related evaluation techniques benefit from industrial insights about field application conditions and potential user requirements. That is why we proposed the introduction of the Polyphonic Sound Detection Score (PSDS) as one of the evaluation metrics in Task 4 ‘Detection of sound events’ in this year’s DCASE Challenge. This is a way for us to help the wider community and to support global research initiatives in this field of research.” comments Sacha Krstulovic, Audio Analytic’s Director of AA Labs (the company’s R&D division) and member of the DCASE steering group.

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 here.

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About Audio Analytic

Audio Analytic is the pioneer of AI sound recognition technology. The company is on a mission to map the world of sounds, giving machines a compact sense of hearing. By transferring our sense of hearing to consumer products and digital personal assistants we give them the ability to react to the world around us, helping satisfy our entertainment, safety, security, wellbeing, convenience, and communication needs.

Audio Analytic’s ai3™ sound recognition software enables device manufacturers and chip companies to equip products at the edge with the ability to recognize and automatically respond to our growing list of audio events and acoustic scenes.

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