CV

Education

• 2002 Doctor of Science (in Technology), Laboratory of Acoustics and Audio Signal Processing, Helsinki University of Technology (HUT/TKK, now part of Aalto University), Finland. General studies and major subject with distinction. Minor subject (Information Technology / Machine Learning) with honors.

• 1997 Master of Science, Communications Engineering, Yildiz Technical University (YTU), Turkey

EUROPEAN PROJECT EXPERIENCE

• 2019 COST Action CA18232 – Mathematics of Nonlinear Dynamic Networks (MAT-DYN-NET): Management Committee Member (DK), by appointment
• 2019- 2021 607397-CREA-1-2019-1-BE-CULT-COOP1 - Sounds of Our Cities, led by City of Roeselare, Belgium. Danish partner.
• 2007– 2011 FP7, COST IC0601 Action Sonic Interaction Design (SID): Finnish Delegate
• 2004– 2005 FP6, FET, IST-2004-03773 Coordination Action Sound to Sense, Sense to Sound (S2S2): Audio Working Group Leader
• 2002– 2004 FP5, IST-2001-33059, Algorithms for the modeling of acoustic interactions (ALMA), Post-Doc Researcher

INSTITUTIONAL RESPONSIBILITIES

• 2020 Master’s Thesis Assessment, Norwegian University of Science and Technology and University of Oslo, Norway
• 2017– 2020 Doctoral Thesis Assessment Chair, Aalborg University, Department of Architecture, Design and Media Technology, Denmark
• 2018 Doctoral Thesis Examiner, Sydney School of Architecture, Design and Planning, University of Sydney, Australia
• 2015– 2016 Doctoral Thesis Pre-examiner, Aalto University, School of Science
• 2013 Doctoral Thesis Committee Member, European Doctorate in Architecture and Urban Planning, Universita IUAV di Venezia, Italy
• 2010 Doctoral Thesis Committee Member, KTH Royal Institute of Technology, Sweden
• 2010 Aalto Design Factory Board Member, Finland

Publications

Generative Choreographies: The Performance Dramaturgy of the Machine

Esbern Torgard Kaspersen, David Gzórny, Cumhur Erkut, and George Palamas, G. (2020). Proc. Intl. Joint Conf. Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1, 319–326.

Reflections from five years of SIVE workshops

Stefania Serafin, Cumhur Erkut, Amalia De Goetzen, Niels Christian Nilsson, Rolf Nordahl, Francesco Grani, Federico Avanzini, and Michele Geronazzo. Reflections from five years of Sonic Interaction in Virtual Environments (SIVE) workshops. 2020 J. New Music Research, 49 (1), pp 24-34

Explorations of Singing Voice Synthesis Using DDSP

Juan Alonso and Cumhur Erkut, 2021. Explorations of Singing Voice Synthesis Using DDSP. In Proc. Sound and Music Computing Conf., p. 183-190, doi:10.5281/zenodo.5043850

A Differentiable Neural Network Approach To Parameter Estimation Of Reverberation

Søren V K Lyster and Cumhur Erkut, 2022. A Differentiable Neural Network Approach To Parameter Estimation Of Reverberation. In Proc. Sound and Music Computing Conf., p. 354-360, doi:10.5281/zenodo.65733571

Pruning Deep Neural Network Models of Guitar Distortion Effect

Südholt, David, Alec Wright, Cumhur Erkut, and Vesa Välimäki. 2022. “Pruning Deep Neural Network Models of Guitar Distortion Effects.” IEEE/ACM Transactions on Audio, Speech, and Language Processing 31: 256–64.

Differentiable All-pass Filters for Phase Response Estimation and Automatic Signal Alignment

Anders Bargum, Stefania Serafin, Cumhur Erkut, and Julian D Parker. 2023. “Differentiable All-pass Filters for Phase Response Estimation and Automatic Signal Alignment.” in Proc DAFx 2023, Copenhagen, Denmark

Reimagining Speech: a Scoping Review of Deep Learning-Powered Voice Conversion

Bargum, Anders R, Stefania Serafin, and Cumhur Erkut. 2023. “Reimagining Speech: a Scoping Review of Deep Learning-Powered Voice Conversion.” CoRR. doi:10.48550/arxiv.2311.08104. In Review: Frontiers Signal Processing

Multimodal Looper: A Live-Looping System for Gestural and Audio-visual Improvisation

Pelin Kiliboz and Cumhur Erkut, 2024. “Multimodal Looper: A Live-Looping System for Gestural and Audio-visual Improvisation” in Proc MOCO 2024, Utrecht, The Netherlands

Talks

Towards Differentiable Sound and Music Computing

September 29, 2020

Talk at AES Applications of Machine Learning in Audio, New York, NY, and online

Multisensory Processing at MEL

December 07, 2021

Talk at Danish Sound Cluster, Struer, Denmark, Online

Enhancing Sound, Music, and Movement Computing with Differentiable DSP

June 09, 2022

Talk at Sound and Music Computing Conference (SMC'22), St. Ethienne, France, Online

Operationalizing Sound and Music with Foundational AI Models

December 10, 2022

Talk at C4DM - Centre for Digital Music, Queen Mary University of London, UK, Online

Wellbeing beyond expectations with an Edge Intelligence Infrastructure

March 14, 2024

Talk at DIALOGUE WORKSHOP: MISSION WELLBEING OF CHILDREN AND YOUNG PEOPLE, Aalborg University Innovation Hub, Aalborg, Denmark

Teaching

CREATE Study Board

Audio Processing

Sound and Music Computing Project Catalog

Medialogy Project Catalog

Machine Learning for Media Experiences

Service and leadership

• Currently signed in to 43 different slack teams