Published in Proc MOCO 2024, Utrecht, the Netherlands, 2024
Accepted: a soma-design exercise towards active inference of movement and sound … Read more
Recommended citation: 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
Published in Frontiers in Signal Processin (in review), 2024
Based on scoping review of 100+ papers we outline the best practices of DL-VC priot to transformers. Read more
Recommended citation: 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 https://arxiv.org/abs/2311.08104
Published in Proc DAFx 2023, Copenhagen, Denmark, 2023
learnable allpass filters optimized via an overparameterized BiasNet network without input audio. … Read more
Recommended citation: 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 https://arxiv.org/abs/2306.00860
Published in IEEE/ACM Transactions on Audio, Speech and Language Processing, 31(99), 256–264, 2022
Pruning most of the deep learning model parameters may improve the sound quality … Read more
Recommended citation: 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. https://doi.org/10.1109/taslp.2022.3223257
Published in Proc. Sound and Music Computing Conf. (France), 2022
Deep-learning real-time feedback delay network reverb as a VST3 using JUCE with CI/CD … Read more
Recommended citation: 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 https://doi.org/10.5281/zenodo.65733571
Published in Proc. Sound and Music Computing Conf. (online), 2021
Enhances DDSP with a latent-space representation for singing voice language comprehension. Read more
Recommended citation: 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 https://zenodo.org/record/5043851
Published in J. New Music Research, 2020
Highlighted the importance of movement-based sonic interaction design and interactive machine learning in VR Read more
Recommended citation: 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 https://doi.org/10.1080/09298215.2019.1708413
Published in 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Valletta, Malta, 2020
Movement generation driven by the real-time MoCap sensor data Read more
Recommended citation: 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. http://doi.org/10.5220/0008990403190326