Archiv des Autors: Igor Vatolkin

Job offer as student assistant at the Chair for AI Methodology, RWTH

Publiziert am 11. September 2023 von Igor Vatolkin

A position as student assistant for the support in teaching activities and empirical studies for optimisation of music data analysis using Artificial Intelligence is open and should be filled as soon as possible. For details, please see the PDF.

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Call for Papers: EvoMUSART 2024

Publiziert am 10. September 2023 von Igor Vatolkin

The 13th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) will take place on 3-5 April 2024, as part of the evo* event. EvoMUSART webpage: www.evostar.org/2024/evomusart/ Submission deadline: 1 November 2023 Conference: 3-5 April 2024 EvoMUSART … Weiterlesen →

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SIGMA #55

Publiziert am 11. Juni 2023 von Igor Vatolkin

The program of the following 55th SIGMA meeting on 16.06.2023, 14:00-16:00, which takes place at the Chair of Algorithm Engineering, Deparment of Computer Science, TU Dortmund, Otto-Hahn-Str. 14, room 202, and online (please send an email to igor.vatolkin [at] udo.edu … Weiterlesen →

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Paper describing Artificial Audio Multitracks (AAM) dataset published in EURASIP Journal on Audio, Speech, and Music Processing

Publiziert am 17. April 2023 von Igor Vatolkin

F. Ostermann, I. Vatolkin, and M. Ebeling: AAM: a Dataset of Artificial Audio Multitracks for Diverse Music Information Retrieval Tasks. EURASIP Journal on Audio, Speech, and Music Processing, 13, 2023. Zenodo link: https://doi.org/10.5281/zenodo.5794629 Abstract: We present a new dataset of … Weiterlesen →

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Slides from the MDA lecture by Meinard Müller

Publiziert am 5. Februar 2023 von Igor Vatolkin

On 03.02.2023, the last unit of  the interdisciplinary lecture on Music Data Analysis was organized by Prof. Meinard Müller, Audiolabs Erlangen. The slides on FMP Notebooks are available here (handout version).

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Two papers accepted for EvoMUSART

Publiziert am 26. Januar 2023 von Igor Vatolkin

(1) I. Vatolkin, M. Gotham, N. Nápoles López, and F. Ostermann: Musical Genre Recognition based on Deep Descriptors of Harmony, Instrumentation, and Segments. Accepted for Proceedings of the 12th International Conference on Artificial Intelligence in Music, Sound, Art and Design … Weiterlesen →

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SIGMA #54

Publiziert am 6. Januar 2023 von Igor Vatolkin

The program of the following 54th SIGMA meeting on 16.01.2023, 14:00-16:00, which takes place at the Chair of Algorithm Engineering, Deparment of Computer Science, TU Dortmund, Otto-Hahn-Str. 14, room 202, and online (please send an email to igor.vatolkin [at] udo.edu … Weiterlesen →

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Lecture on music data analysis in winter term 2022/23

Publiziert am 19. September 2022 von Igor Vatolkin

For the fifth time, the interdisciplinary lecture „Music data analysis“ takes place at TU Dortmund (lecture on Fridays, 10-12, with excercises on Fridays, 12-13).  

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Call for Papers: EvoMUSART 2023

Publiziert am 13. August 2022 von Igor Vatolkin

The 12th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) will take place in Brno (Czech Republic) between the 12th and 14th of April of 2023, as part of the evo* event. EvoMUSART webpage: https://www.evostar.org/2023/evomusart Submission … Weiterlesen →

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Paper on multi-modal music classification accepted for ISMIR

Publiziert am 15. Juli 2022 von Igor Vatolkin

I. Vatolkin and C. McKay: Stability of Symbolic Feature Group Importance in the Context of Multi-Modal Music Classification. accepted for Proceedings of the 23rd International Society for Music Information Retrieval Conference (ISMIR) Abstract: Multi-modal music classification creates supervised models trained … Weiterlesen →

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