Archiv der Kategorie: Publications
Paper describing Artificial Audio Multitracks (AAM) dataset published in EURASIP Journal on Audio, Speech, and Music Processing
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
Two papers accepted for EvoMUSART
(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
Paper on multi-modal music classification accepted for ISMIR
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
Paper on multi-modal music classification using six modalities published in TISMIR
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
Paper on EAR Drummer accepted for TISMIR special collection on AI and Musical Creativity
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
Paper on multi-modal music classification accepted for Entropy
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
AMUSE paper accepted for SIGIR
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
Two Papers Presented at WCCI 2020
Two papers were presented during WCCI 2020: Vatolkin, I.: Evolutionary Approximation of Instrumental Texture in Polyphonic Audio Recordings [evaluates new features based on evolutionary approximation of instrumental texture for instrument and genre recognition] Ginsel, P., Vatolkin, I. Rudolph, G.: Analysis … Weiterlesen
New book: Applications in Statistical Computing
The book Bauer, N., Ickstadt, K., Lübke, K., Szepannek, G., Trautmann, H., Vichi, M (Eds.): Applications in Statistical Computing: From Music Data Analysis to Industrial Quality Improvement, Springer, has recently been published. This volume presents a selection of research papers … Weiterlesen
Paper accepted for EvoMUSART 2019
The paper on evolutionary multi-objective training set selection is accepted for EvoMUSART 2019: I. Vatolkin and D. Stoller: Evolutionary Multi-Objective Training Set Selection of Data Instances and Augmentations for Vocal Detection. EvoMUSART 2019, Leipzig, 2019