Papers
For citiation records of the following articles refer to my GoogleScholar page.
Sound Event Localization, Detection, and Tracking by Deep Neural Networks
Sharath Adavanne
Ph.D. Thesis, Tampere University, Finland 2020
Acoustic Scene Classification Using Higher-Order Ambisonic Features
Marc C Green, Sharath Adavanne, Damian Murphy, Tuomas Virtanen
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2019)
Joint Measurement of Localization and Detection of Sound Events
Annamaria Mesaros, Sharath Adavanne, Archontis Politis, Toni Heittola, Tuomas Virtanen
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2019)
A multi-room reverberant dataset for sound event localization and detection
Sharath Adavanne, Archontis Politis, Tuomas Virtanen
Detection and Classification of Acoustic Scenes and Events (DCASE 2019)
Sharath Adavanne, Archontis Politis, Tuomas Virtanen
Detection and Classification of Acoustic Scenes and Events (DCASE 2019)
Sound Event Classification and Detection with Weakly Labeled Data
Sharath Adavanne, Haytham Fayek, Vladimir Tourbabin
Detection and Classification of Acoustic Scenes and Events (DCASE 2019)
Stacked convolutional and recurrent neural networks for music emotion recognition
Miroslav Malik*, Sharath Adavanne*, Konstantinos Drossos, Tuomas Virtanen, Dasa Ticha, Roman Jarina
Jose M. Perez-Macias, Sharath Adavanne, Jari Viik, Alpo Värri, Sari-Leena Himanen, and Mirja Tenhunen
IEEE The Engineering in Medicine and Biology Conference (EMBC 2017)
Sound event detection in multichannel audio using spatial and harmonic features
Sharath Adavanne, Giambattista Parascandolo, Pasi Pertila, Toni Heittola and Tuomas Virtanen
Detection and Classification of Acoustic Scenes and Events (DCASE 2016)
Room surface estimation using reflection coefficients measured in-situ
Sharath Adavanne
MSc thesis, Tampere University of Technology, Finland 2011
* Equally contributing authors in the paper