Archiv der Kategorie: MIR Research

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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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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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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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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Paper on EAR Drummer accepted for TISMIR special collection on AI and Musical Creativity

Publiziert am 3. Dezember 2021 von Igor Vatolkin

F. Ostermann, I. Vatolkin, and G. Rudolph: Evaluating Creativity in Automatic Reactive Accompaniment of Jazz Improvisation Abstract: Music generating computer programs can support jazz musicians and students during performance and practice, for instance by providing accompaniment for solo improvisation. However, … Weiterlesen →

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Paper on multi-modal music classification accepted for Entropy

Publiziert am 24. November 2021 von Igor Vatolkin

The following paper was accepted for Entropy: B. Wilkes, I. Vatolkin, and H. Müller: Statistical and Visual Analysis of Audio, Text, and Image Features for Multi-Modal Music Genre Recognition

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Job offer for a student assistant

Publiziert am 27. September 2021 von Igor Vatolkin

For assistance during software project „Music Informatics“, a position as a student assistant (8 hours per week) is offered at the Chair of Algorithm Engineering, Department of Computer Science, TU Dortmund. Please see the full description in German.

Veröffentlicht unter AMUSE & MIR Software, General, Teaching Activities | Hinterlasse einen Kommentar

AMUSE paper accepted for SIGIR

Publiziert am 25. April 2021 von Igor Vatolkin

The following paper was accepted for SIGIR conference: I. Vatolkin, P. Ginsel, and G. Rudolph: Advancements in the Music Information Retrieval Framework AMUSE over the Last Decade Before the presentation at SIGIR, we will update the user manual (the current … Weiterlesen →

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AMUSE Repository Moved

Publiziert am 27. Februar 2021 von Igor Vatolkin

The repository of Advanced MUSic Explorer has moved to: https://github.com/AdvancedMUSicExplorer/AMUSE

Veröffentlicht unter AMUSE & MIR Software, MIR Research | Hinterlasse einen Kommentar

Master Thesis on Instrument Recognition

Publiziert am 27. Juli 2020 von Igor Vatolkin

The thesis „Benedikt Adrian: Implementierung von hybriden Methoden zur Instrumentenerkennung in verrauschten Musikdaten“ (Implementation of Hybrid Methods for Instrument Recognition in Noisy Music Data, PDF in German) applies CNNs together with shallow classifiers for the recognition of instruments in polyphonic … Weiterlesen →

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