Kivanc Tatar

Forskarassistent vid Data Science och AI

Kıvanç Tatar är en konstnär/teknolog/forskare som arbetar i skärningspunkten mellan musik, maskininlärning, artificiell intelligens, interaktiv konst, design och interaktion mellan människa och dator. Hans forskning inom musikalisk AI inkluderar multimodala applikationer som kombinerar musik med rörelseberäkning, eller bildkonst. Hans beräkningsmetoder har integrerats i musikframträdanden, interaktiva konstverk och uppslukande miljöer inklusive virtuell verklighet. Tatars tvärvetenskapliga arbete har visats över hela världen; inklusive de uppmärksammade händelserna i kulturprogrammet vid Rio Olympics 2016, Ars Electronica Festival 2017 och 2020, CHI 2018, Mutek Montreal 2018 och Contemporary Istanbul PlugIn 2019. Han är biträdande professor i interaktiv AI vid Chalmers tekniska högskola i Göteborg, Sverige.

Källa: chalmers.se
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Visar 25 publikationer

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 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
2024

A Deep Learning Framework for Musical Acoustics Simulations

Jiafeng Chen, Kivanc Tatar, Victor Zappi
Proceedings of AI Music Creativity 2024
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
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

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
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

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
2020

Chatterbox: an interactive system of gibberish agents

Ronald Boersen, Aaron Liu-Rosenbaum, Kivanc Tatar et al
Proceedings of 26th International Symposium of Electronic Arts (ISEA 2020)
Paper i proceeding
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

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
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
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

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
Paper i proceeding
2018

Quantitative Analysis of the Im pact 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
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
2017

Ranking Based Experimental Music Emotion Recognition

Jianyu Fan, Kivanc Tatar, Miles Thorogood et al
Proceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR 2017
Paper i proceeding
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). Vol. 10280
Paper i proceeding
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)
Paper i proceeding
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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