Jakob Abeßer
Jakob Abeßer
Senior Scientist & Principal Researcher, Fraunhofer IDMT
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Zitiert von
Zitiert von
A review of deep learning based methods for acoustic scene classification
J Abeßer
Applied Sciences 10 (6), 2020, 2020
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
Music information retrieval meets music education
C Dittmar, E Cano, J Abeßer, S Grollmisch
Dagstuhl Follow-Ups 3, 2012
Inside the jazzomat: new perspectives for jazz research
M Pfleiderer, K Frieler, J Abesser, WG Zaddach, B Burkhart
Schott Music GmbH, 2017
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
Automatic detection of audio effects in guitar and bass recordings
M Stein, J Abeßer, C Dittmar, G Schuller
Audio Engineering Society Convention 128, 2010
Jazz Solo Instrument Classification with Convolutional Neural Networks, Source Separation, and Transfer Learning.
JS Gómez, J Abeßer, E Cano
ISMIR, 577-584, 2018
Sounding industry: Challenges and datasets for industrial sound analysis
S Grollmisch, J Abeßer, J Liebetrau, H Lukashevich
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
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
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
Acoustic Scene Classification by Combining Autoencoder-Based Dimensionality Reduction and Convolutional Neural Networks.
J Abeßer, SI Mimilakis, R Gräfe, HM Lukashevich, I Fraunhofer
DCASE, 7-11, 2017
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
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 string detection for bass guitar and electric guitar
J Abeßer
From Sounds to Music and Emotions: 9th International Symposium, CMMR 2012 …, 2013
Inside the Jazzomat
M Pfleiderer, K Frieler, J Abeßer, WG Zaddach, B Burkhart
New Perspectives for Jazz Research, 2017
A study on spoken language identification using deep neural networks
A Draghici, J Abeßer, H Lukashevich
Proceedings of the 15th International Audio Mostly Conference, 253-256, 2020
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
New Sonorities for Early Jazz Recordings Using Sound Source Separation and Automatic Mixing Tools.
D Matz, E Cano, J Abeßer
ISMIR, 749-755, 2015
Instrument-centered music transcription of solo bass guitar recordings
J Abeßer, G Schuller
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (9), 1741 …, 2017
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
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