Email: sharathadavanne <at> gmail <dot> com

I am a Ph.D. student supervised by Prof. Tuomas Virtanen. I am currently working on computational auditory scene analysis (CASA) using machine learning techniques. Specifically, as my Ph.D. topic, I am studying sound event localization, detection, and tracking using deep learning methods.

Since 2010, I have worked on various research topics related to audio signal processing, music information retrieval (MIR) and speech recognition. In my master studies, I explored techniques to estimate reflection coefficient of room surfaces using room impulse response. Later, I worked on a multitude of projects related to speech recognition and MIR at SensiBol. Details and demos of which can be found in the demos page. More recently, I was working in a media-tech company ZAPR, where we profiled mobile users based on their media consumption using audio-fingerprinting methods and delivered the right advertisements to them.

I spent the summer of 2017 as an intern at the Creative Intelligence Lab (CIL) of Adobe Research in San Francisco, USA, working on visualization of spatial audio for virtual reality (VR) applications with Gautham Mysore, Stephen DiVerdi, and Timothy Langlois. In the winter of 2017, I was awarded the Nokia Scholarship by the Nokia Foundation encouraging my efficient and fast-progressing doctoral research. More recently, in the summer of 2018, I interned at Facebook reality labs (FRL) in Redmond, USA, where I mainly collaborated with Vladimir Tourbabin and Haytham Fayek.

I am currently organizing the sound event localization and detection task at DCASE 2020