Jakob Abesser
Jakob Abesser
Fraunhofer IDMT
Bestätigte E-Mail-Adresse bei idmt.fraunhofer.de
Zitiert von
Zitiert von
Music information retrieval meets music education
C Dittmar, E Cano, J Abeßer, S Grollmisch
Dagstuhl Follow-Ups 3, 2012
Automatic Tablature Transcription of Electric Guitar Recordings by Estimation of Score-and Instrument-Related Parameters.
C Kehling, J Abeßer, C Dittmar, G Schuller
DAFx, 219-226, 2014
Feature-based extraction of plucking and expression styles of the electric bass guitar
J Abeßer, H Lukashevich, G Schuller
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
From Multi-Labeling to Multi-Domain-Labeling: A Novel Two-Dimensional Approach to Music Genre Classification.
HM Lukashevich, J Abeßer, C Dittmar, H Grossmann
ISMIR, 459-464, 2009
Automatic detection of audio effects in guitar and bass recordings
M Stein, J Abeßer, C Dittmar, G Schuller
Audio Engineering Society Convention 128, 2010
New sonorities for jazz recordings: Separation and mixing using deep neural networks
SI Mimilakis, E Cano, J Abeßer, G Schuller
2nd AES Workshop on Intelligent Music Production 13, 2016
Midlevel analysis of monophonic jazz solos: A new approach to the study of improvisation
K Frieler, M Pfleiderer, WG Zaddach, J Abeßer
Musicae Scientiae 20 (2), 143-162, 2016
Automatic quality assessment of vocal and instrumental performances of ninth-grade and tenth-grade pupils
J Abeßer, J Hasselhorn, C Dittmar, A Lehmann, S Grollmisch
Proceedings of the International Symposium on Computer Music …, 2013
Automatic string detection for bass guitar and electric guitar
J Abeßer
International Symposium on Computer Music Modeling and Retrieval, 333-352, 2012
Automatic classification of musical pieces into global cultural areas
A Kruspe, H Lukashevich, J Abeßer, H Großmann, C Dittmar
Audio Engineering Society Conference: 42nd International Conference …, 2011
Automatic genre classification of latin american music using characteristic rhythmic patterns
T Völkel, J Abeßer, C Dittmar, H Großmann
Proceedings of the 5th Audio Mostly Conference: A Conference on Interaction …, 2010
Genre Classification Using Bass-Related High-Level Features and Playing Styles.
J Abeßer, HM Lukashevich, C Dittmar, G Schuller
ISMIR, 453-458, 2009
Inside the Jazzomat: New perspectives for Jazz research
M Pfleiderer, K Frieler, J Abesser, WG Zaddach, B Burkhart
Schott Music GmbH, 2017
Classification of music genres based on repetitive basslines
J Abeßer, H Lukashevich, P Bräuer
Journal of New Music Research 41 (3), 239-257, 2012
Data-driven solo voice enhancement for jazz music retrieval
S Balke, C Dittmar, J Abeßer, M Müller
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
Score-informed analysis of tuning, intonation, pitch modulation, and dynamics in jazz solos
J Abeßer, K Frieler, E Cano, M Pfleiderer, WG Zaddach
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (1), 168-177, 2016
New Sonorities for Early Jazz Recordings Using Sound Source Separation and Automatic Mixing Tools.
D Matz, E Cano, J Abeßer
ISMIR, 749-755, 2015
Introducing the Jazzomat project and the Melo (S) py library
K Frieler, J Abeßer, WG Zaddach, M Pfleiderer
Proceedings of the Third International Workshop on Folk Music Analysis, 76-78, 2013
Music search and recommendation
K Brandenburg, C Dittmar, M Gruhne, J Abeßer, H Lukashevich, P Dunker, ...
Handbook of multimedia for digital entertainment and arts, 349-384, 2009
Jazz Solo Instrument Classification with Convolutional Neural Networks, Source Separation, and Transfer Learning.
JS Gómez, J Abeßer, E Cano
ISMIR, 577-584, 2018
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