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.
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.