Kıvanç Tatar is an artist-technologist focusing on Machine Learning and Artificial Intelligence for Music and Interdisciplinary Arts. His research in Art and Technology integrates Interactive Arts, Advanced Technology, and Design to create transdisciplinary knowledge.
by Georgios Diapoulis, Iannis Zannos, Kıvanç Tatar, and Palle Dahlstedt
IZ
KT
Published: Jun 16, 2022
This paper explores an alternative approach to interaction based on the discrete Huffman encoding of input from a single continuous controller. Statistical analysis indicates the feasibility of a tactically predictive system on this basis.
This paper delves into SpeechBrain, OpenAI and CoquiTTS voice and speech models within a research-through-design inspired, exploratory research engagement with pre-trained speech synthesis models to find their musical affordances in an experimental vocal practice.
This paper introduces the Neuralacoustics framework for researching Deep Learning architectures towards real-time acoustics simulations and benchmarking for musical applications.