October 6, 2017
Sacha Krstulović to speak at SANE 2017
Sacha, who is Director of our R&D division – AALabs – will be speaking at this autumn’s SANE 2017, a one-day event that gathers researchers and students in speech and audio from the Northeast of America. It will be held on Thursday, October 19th at Google’s office in New York.
Sacha will be speaking alongside other leaders in their respective fields, including Aaron Courville (University of Montreal, MILA), Aaron van den Oord (Google DeepMind), Eric Humphrey (Spotify), Gunnar Evermann (Apple) and Floran Metze (CMU).
His presentation will be:
Sound is not speech
“The recognition of audio events is emerging as a relatively new field of research compared to speech and music recognition. Whereas it has started from known recipes from the latter fields, 24/7 sound recognition actually defines a new range of research problems which are distinct from speech and music.
After reviewing the constraints related to running sound recognition successfully on real-world consumer products deployed across thousands of homes, the talk discusses the nature of some of sound recognition’s distinctive problems, such as open set recognition or the modelling of interrupted sequences.
This is put in context with the most recent advances in the field, supported in the public domain, e.g., by competitive evaluations such as the DCASE challenge, to assess which of sound recognition’s distinctive problems are being currently addressed by state-of-the-art methods, and which ones could deserve more attention.”
For more information and to book your place, visit SANEworkshop.org.
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About Audio Analytic
Audio Analytic is the pioneer of AI sound recognition software. The company is on a mission to map the world of sounds, offering our sense of hearing to consumer technology. 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 and communication needs.
Audio Analytic’s ai3™ sound recognition software enables device manufacturers and chip companies to equip products with Artificial Audio Intelligence, recognizing and automatically responding to our growing list of sound profiles.