Archiv des Autors: Igor Vatolkin

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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SIGMA #53

Publiziert am 20. Juni 2022 von Igor Vatolkin

The program of the following 53rd SIGMA meeting on 30.06.2022, 14:00-16:00, which takes place online (please send an email to igor.vatolkin [at] udo.edu if you wish to get the Zoom link): 14:00-14:05 Welcome greetings 14:05-14:35 Conference studyMark Gotham: What if … Weiterlesen →

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SIGMA #52

Publiziert am 15. März 2022 von Igor Vatolkin

The program of the following 52nd SIGMA meeting on 31.03.2022, 14:00-16:10, which takes place online (please send an email to igor.vatolkin [at] udo.edu if you wish to get the Zoom link): 14:00-14:05 Welcome greetings 14:05-14:35 Bachelor’s thesis (results) Marcel Schrauder: … Weiterlesen →

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Paper on multi-modal music classification using six modalities published in TISMIR

Publiziert am 3. Februar 2022 von Igor Vatolkin

I. Vatolkin and C. McKay: Multi-Objective Investigation of Six Feature Source Types for Multi-Modal Music Classification. Transactions of the International Society for Music Information Retrieval, 5(1), pp.1–19, 2022. Abstract: Every type of musical data (audio, symbolic, lyrics, etc.) has its … Weiterlesen →

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