Kivanc Tatar

Universitetslektor vid Data Science och AI

I am a musician, new media artist, and researcher focusing on Creative Artificial Intelligence for Music and Interactive Media. My practice integrates Interactive Arts, Contemporary Arts, Science, Technology, Engineering, and Design to research interdisciplinary topics of New Media to create transdisciplinary knowledge.

Källa: orcid.org

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Publikationer (31)
Projekt (2)

Visar 31 publikationer

2026

Expanding the machine: Notating generative synthesis with a state-based representation and a navigable timbre space

Vincenzo Madaghiele, Leonard Lund, Derek Holzer et al

Organised Sound. Vol. In Press

Artikel i vetenskaplig tidskrift

2025

Neural audio instruments: epistemological and phenomenological perspectives on musical embodiment of deep learning

Victor Zappi, Kivanc Tatar

Frontiers in Computer Science. Vol. 7

Artikel i vetenskaplig tidskrift

2025

Imploding between the facts and concerns: analysing human–AI musical interaction

Kelsey Cotton, Anna Kaisa Kaila, Petra Jääskeläinen et al

Humanities and Social Sciences Communications. Vol. 12 (1)

Artikel i vetenskaplig tidskrift

2024

Exposing the Bias in Artificial Intelligence

Kivanc Tatar

Övrigt

2024

Sounding out extra-normal AI voice: Non-normative musical engagements with normative AI voice and speech technologies

Kelsey Cotton, Kivanc Tatar

AI Music Creativity Proceedings 2024

Paper i proceeding

2024

Singing for the Missing: Bringing the Body Back to AI Voice and Speech Technologies

Kelsey Cotton, Katja de Vries, Kivanc Tatar

9th International Conference on Movement and Computing

Paper i proceeding

2024

A Deep Learning Framework for Musical Acoustics Simulations

Jiafeng Chen, Kivanc Tatar, Victor Zappi

Proceedings of AI Music Creativity 2024

Paper i proceeding

2024

A Shift in Artistic Practices through Artificial Intelligence

Kivanc Tatar, Petter Ericson, Kelsey Cotton et al

Leonardo. Vol. 57 (3), p. 293-297

Artikel i vetenskaplig tidskrift

2024

Interfacing ErgoJr with Creative Coding Platforms

Matteo Caravati, Kivanc Tatar

ACM International Conference Proceeding Series

Paper i proceeding

2023

Sound Design Strategies for Latent Audio Space Explorations using Deep Learning Architectures

Kivanc Tatar, Kelsey Cotton, Daniel Bisig

Proceedings of the Sound and Music Computing Conferences. Vol. 2023-June, p. 239-246

Paper i proceeding

2023

Caring Trouble and Musical AI: Considerations towards a Feminist Musical AI

Kelsey Cotton, Kivanc Tatar

AI Music Creativity Proceedings 2023

Paper i proceeding

2023

On the importance of AI research beyond disciplines

Virginia Dignum, Donal Casey, Teresa Cerratto-Pargman et al

Preprint

2022

The Neuralacoustics Project: Exploring Deep-Learnin for Lightweight Numerical Modeling Synthesis

Victor Zappi, Kivanc Tatar

Embedded AI for NIME: Challenges and Opportunities Workshop at New Interfaces for Musical Expression

Övrigt konferensbidrag

2022

Bottom-up live coding: Analysis of continuous interactions towards predicting programming behaviours

Georgios Diapoulis, Ioannis Zannos, Kivanc Tatar et al

Proceedings of the International Conference on New Interfaces for Musical Expression. Vol. 22

Paper i proceeding

2022

Social Drones for Health and Well-being

Mohammad Obaid, Kivanc Tatar, Mikael Wiberg et al

NordiCHI '22: Adjunct Proceedings of the 2022 Nordic Human-Computer Interaction Conference

Paper i proceeding

2021

instance: Soma-based multi-user interaction design for the telematic sonic arts

Lucy Strauss, Kivanc Tatar, Sumalgy Nuro

Organised Sound. Vol. 26 (3), p. 390-402

Artikel i vetenskaplig tidskrift

2021

Raw Music from Free Movements: Early Experiments in Using Machine Learning to Create Raw Audio from Dance Movements

Daniel Bisig, Kivanc Tatar

Proceedings of AI Music Creativity Conference 2021

Paper i proceeding

2020

Chatterbox: an interactive system of gibberish agents

Ronald Boersen, Aaron Liu-Rosenbaum, Kivanc Tatar et al

Övrigt konferensbidrag

2020

Latent Timbre Synthesis: Audio-based Variational Auto-Encoders for Music Composition Applications

Kivanc Tatar, Daniel Bisig, Philippe Pasquier

Neural Computing and Applications. Vol. 33 (The Special Issue of Neural Computing and Applications: “Networks in Art, Sound and Design.”), p. 67-84

Artikel i vetenskaplig tidskrift

2019

Respire: Virtual Reality Art with Musical Agent Guided by Respiratory Interaction

Kivanc Tatar, Mirjana Prpa, Philippe Pasquier

Leonardo Music Journal. Vol. 29, p. 19-24

Artikel i vetenskaplig tidskrift

2019

Musical agents: A typology and state of the art towards Musical Metacreation

Kivanc Tatar, Philippe Pasquier

Journal of New Music Research. Vol. 48 (1), p. 56-105

Artikel i vetenskaplig tidskrift

2019

Initial Remarks on Analyzing Acousmatic Music from the Perspective of Multi-agents

Kivanc Tatar

Array

Artikel i övrig tidskrift

2019

Audio-based Musical Artificial Intelligence and Audio-Reactive Visual Agents in Revive

Kivanc Tatar, Philippe Pasquier, Remy Siu

Proceedings of the joint International Computer Music Conference and New York City Electroacoustic Music Festival 2019 (ICMC-NYCEMF 2019)

Paper i proceeding

2018

Respire: a Breath Away from the Experience in Virtual Environment

Mirjana Prpa, Kivanc Tatar, Thecla Schiphorst et al

Conference on Human Factors in Computing Systems - Proceedings. Vol. 2018-April

Paper i proceeding

2018

Attending to Breath: Exploring How the Cues in a Virtual Environment Guide the Attention to Breath and Shape the Quality of Experience to Support Mindfulness

Mirjana Prpa, Kivanc Tatar, Jules Françoise et al

DIS 2018 - Proceedings of the 2018 Designing Interactive Systems Conference

Paper i proceeding

2018

REVIVE: An Audio-Visual Performance with Musical and Visual Artificial Intelligence Agents

Kivanc Tatar, Philippe Pasquier, Remy Siu

Conference on Human Factors in Computing Systems - Proceedings, p. 1-6

Paper i proceeding

2018

Quantitative Analysis of the Impact of Mixing on Perceived Emotion of Soundscape Recordings

Jianyu Fan, Miles Thorogood, Kivanc Tatar et al

Proceedings of the Sound and Music Computing Conferences. Vol. 15

Paper i proceeding

2017

Ranking Based Experimental Music Emotion Recognition

Jianyu Fan, Kivanc Tatar, Miles Thorogood et al

Övrigt konferensbidrag

2017

The Pulse Breath Water System: Exploring Breathing as an Embodied Interaction for Enhancing the Affective Potential of Virtual Reality

Mirjana Prpa, Kivanc Tatar, Bernhard Riecke et al

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), p. 153-172

Kapitel i bok

2017

MASOM: A Musical Agent Architecture based on Self-Organizing Maps, Affective Computing, and Variable Markov Models

Kivanc Tatar, Philippe Pasquier

Proceedings of the 5th International Workshop on Musical Metacreation (MuMe 2017)

Övrigt konferensbidrag

2016

Automatic Synthesizer Preset Generation with PresetGen

Kivanc Tatar, Matthieu Macret, Philippe Pasquier

Journal of New Music Research. Vol. 45 (2), p. 124-1414

Artikel i vetenskaplig tidskrift

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Visar 2 forskningsprojekt

2025–2031

VOICE. AI-skapade röster. Rättsliga och samhälleliga perspektiv

Kivanc Tatar Data Science och AI

Vetenskapsrådet (VR)

2025–2030

AI Futures of Culture and Memory

Kivanc Tatar Data Science och AI

Knut och Alice Wallenbergs Stiftelse

Det kan finnas fler projekt där Kivanc Tatar medverkar, men du måste vara inloggad som anställd på Chalmers för att kunna se dem.