March 7, 2019
Tech Talk: Deep Neural Networks for Sound Event Detection
We are delighted to announce the speaker for our next Tech Talk lecture, which will take place at our office in Quayside, Cambridge on the evening of the 13th March.
Emre Çakir will present a summary of his findings from the seven publications in his PhD thesis titled “Deep Neural Networks for Sound Event Detection”.
He will investigate the performance of the more recently developed deep learning algorithms in various detection tasks such as real-life sound event detection, rare event detection and bird audio detection. He will also propose a feature learning algorithm based on the combination of neural networks and the domain knowledge from human auditory perception.
The Tech Talk is free to attend and doors open at 18:00, with the talk starting promptly at 18:30. The talk will be followed by Q&A and networking around nibbles. We are recruiting so this is also a fantastic occasion to come and chat with our staff. We are delighted to invite prominent machine learning and audio processing scientists to talk about their work and hope that these talks will provide inspiration to the Cambridge Machine Learning community.
More on Emre Çakir:
Emre Çakir graduated from METU, Turkey with a BSc. Honours degree in Electronics Engineering in 2013. Then he completed his MSc. (signal processing major) and PhD (information technology) studies with distinction in Tampere Univ. of Tech. (TUT), Finland in January 2015 and February 2019, respectively.
Emre has been a member of the Audio Research Group in TUT under the supervision of Tuomas Virtanen since 2014 and he was employed as a Software Engineering Intern at Google under supervision of Dan Ellis in 2018.
He is mainly working on audio information retrieval (sound event detection, musical instrument classification/synthesis etc.) in real-life environments with deep convolutional and recurrent neural networks.
Past Audio Analytic Tech Talks can be accessed on our YouTube channel.
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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.
Audio Analytic is the pioneer of artificial audio intelligence, which is empowering a new generation of smart products to hear and react to the sounds around us.