Fraunhofer Institute for Digital Media Technology IDMT
Fraunhofer Institute for Digital Media Technology IDMT

Dr.-Ing. Jakob Abeßer

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  • 03/2022 - Present
    Visiting post-doctoral Researcher, International Audio Laboratories Erlangen, Erlangen, Germany
  • 06/2022 - Present
    Co-Investigator of the DFG-funded project Informed Sound Activity Detection in Music and Audio Recordings (ISAD-2) 
  • 04/2021 - Present
    Senior Scientist, Fraunhofer IDMT
  • 01/2018 - 07/2021
    Co-Investigator of the DFG-funded project Informed Sound Activity Detection in Music Recordings (ISAD) 
  • 10/2012 - 03/2017 
    Research Associate/Post-doctoral Researcher at The University of Music Franz Liszt, Weimar, Germany
  • 09/2014
    defended PhD thesis entitled "Automatic Transcription of Bass Guitar Tracks applied for Music Genre Classification and Sound Synthesis"
  • 05/2010-08/2010
    Research stay as visiting PhD student, Finnish Centre of Excellence in Interdisciplinary Music Research, University of Jyväskylä, Finland
  • since 10/2008
    PhD student, Fraunhofer Institute for Digital Media Technology IDMT, Germany
  • 09/2005-02/2006
    Semester abroad, Université Paul Verlain, Metz, France
  • 10/2002-09/2008
    Computer Engineering (Ingenieurinformatik) studies, University of Technology Ilmenau
  • 06/2001
    Abitur, Goetheschule Ilmenau, Staatliches Gymnasium, Ilmenau

More info: https://jakobabesser.github.io/

In my research, I combine techniques from machine learning / deep learning and audio signal processing. On the “ambient sound” side, I work mostly on sound event detection, sound polyphony estimation, and acoustic scene classification and possible applications for urban sound monitoring and bioacoustic research. One the “music” side, I’m mostly interested in automatic music transcription and instrument recognition.

Jahr
Year		Titel/Autor:in
Title/Author		Publikationstyp
Publication Type
2022 Analyzing Bird and Bat Activity in Agricultural Environments using AI-driven Audio Monitoring
Abeßer, Jakob; Wang, Xiaoyi; Bänsch, Svenja; Scherber, Christoph; Lukashevich, Hanna		 Konferenzbeitrag
Conference Paper
2022 Multi-input Architecture and Disentangled Representation Learning for Multi-dimensional Modeling of Music Similarity
Ribecky, Sebastian; Abeßer, Jakob; Lukashevich, Hanna		 Zeitschriftenaufsatz
Journal Article
2022 Towards Interpreting and Improving the Latent Space for Musical Chord Recognition
Nadar, Christon-Ragavan; Taenzer, Michael; Abeßer, Jakob		 Konferenzbeitrag
Conference Paper
2022 Classifying Sounds in Polyphonic Urban Sound Scenes
Abeßer, Jakob		 Zeitschriftenaufsatz
Journal Article
2022 Potentials and Challenges of AI-based Audio Analysis in Industrial Sound Analysis
Gourishetti, Saichand; Grollmisch, Sascha; Abeßer, Jakob; Liebetrau, Judith		 Konferenzbeitrag
Conference Paper
2022 Construction-sAIt: Multi-modal AI-driven technologies for construction site monitoring
Abeßer, Jakob; Loos, Alexander; Sharma, Prachi		 Konferenzbeitrag
Conference Paper
2021 A Benchmark Dataset to Study Microphone Mismatch Conditions for Piano Multipitch Estimation on Mobile Devices
Abeßer, Jakob; Bittner, Franca; Richter, Maike; Gonzalez Rodriguez, Marcel; Lukashevich, Hanna		 Konferenzbeitrag
Conference Paper
2021 Informing Piano Multi-Pitch Estimation with Inferred Local Polyphony Based on Convolutional Neural Networks
Taenzer, Michael; Mimilakis, Stylianos I.; Abeßer, Jakob		 Zeitschriftenaufsatz
Journal Article
2021 Jazz Bass Transcription Using a U-Net Architecture
Abeßer, J.; Müller, M.		 Zeitschriftenaufsatz
Journal Article
2021 Deep Learning-Based Music Instrument Recognition. Exploring Learned Feature Representations
Taenzer, Michael; Mimilakis, Stylianos I.; Abeßer, Jakob		 Konferenzbeitrag
Conference Paper
2021 Verfahren und Vorrichtung zur Erkennung von akustischen Anomalien
Abeßer, Jakob		 Patent
2021 Investigating the influence of microphone mismatch for acoustic traffic monitoring
Gourishetti, Saichand; Abeßer, Jakob; Grollmisch, Sascha; Kátai, András; Liebetrau, Judith		 Konferenzbeitrag
Conference Paper
2021 Predominant Jazz Instrument Recognition. Empirical Studies on Neural Network Architectures
Abeßer, Jakob; Chauhan, Jaydeep; Pillai, Prateek Pradeep; Taenzer, Michael; Mimilakis, Stylianos I.		 Konferenzbeitrag
Conference Paper
2021 IDMT-Traffic: An Open Benchmark Dataset for Acoustic Traffic Monitoring Research
Abeßer, Jakob; Gourishetti, Saichand; Kátai, András; Clauß, Tobias; Sharma, Prachi; Liebetrau, Judith		 Konferenzbeitrag
Conference Paper
2021 Towards Deep Learning Strategies for Transcribing Electroacoustic Music
Nowakowski, M.; Weiß, C.; Abeßer, J.		 Konferenzbeitrag
Conference Paper
2021 DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection
Johnson, David S.; Lorenz, Wolfgang; Taenzer, Michael; Mimilakis, Stylianos Ioannis; Grollmisch, Sascha; Abeßer, Jakob; Lukashevich, Hanna		 Konferenzbeitrag
Conference Paper
2021 DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection
Johnson, David S.; Lorenz, Wolfgang; Taenzer, Michael; Mimilakis, Stylianos Ioannis; Grollmisch, Sascha; Abeßer, Jakob; Lukashevich, Hanna		 Vortrag
Presentation
2020 A Study on Spoken Language Identification Using Deep Neural Networks
Draghici, Alexandra; Abeßer, Jakob; Lukashevich, Hanna		 Konferenzbeitrag
Conference Paper
2020 IAEO3 - Combining OpenL3 Embeddings and Interpolation Autoencoder for Anomalous Sound Detection
Grollmisch, Sascha; Johnson, David; Abeßer, Jakob; Lukashevich, Hanna		 Vortrag
Presentation
2020 Identifikation urbaner Geräuschquellen mittels maschineller Lernverfahren
Clauß, T.; Abeßer, J.		 Zeitschriftenaufsatz
Journal Article
2020 A Review of Deep Learning Based Methods for Acoustic Scene Classification
Abeßer, Jakob		 Zeitschriftenaufsatz
Journal Article
2020 Cross-Version Singing Voice Detection in Opera Recordings: Challenges for Supervised Learning
Mimilakis, Stylianos Ioannis; Weiss, Christof; Arifi-Müller, Vlora; Abeßer, Jakob; Müller, Meinard		 Konferenzbeitrag
Conference Paper
2019 Fundamental Frequency Contour Classification: A Comparison Between Hand-Crafted and CNN-Based Features
Abeßer, Jakob; Müller, Meinard		 Konferenzbeitrag
Conference Paper
2019 Smart Solutions to Cope with Urban Noise Pollution
Abeßer, Jakob; Kepplinger, Sara		 Zeitschriftenaufsatz
Journal Article
2019 Towards CNN-based Acoustic Modeling of Seventh Chords for Automatic Chord Recognition
Nadar, Christon-Ragavan; Abeßer, Jakob; Grollmisch, Sascha		 Konferenzbeitrag
Conference Paper
2019 Investigating CNN-based Instrument Family Recognition for Western Classical Music Recordings
Taenzer, Michael; Abeßer, Jakob; Mimilakis, Stylianos I.; Weiss, Christof; Müller, Meinard; Lukashevich, Hanna		 Konferenzbeitrag
Conference Paper
2019 Sounding Industry: Challenges and Datasets for Industrial Sound Analysis
Grollmisch, Sascha; Abeßer, Jakob; Liebetrau, Judith; Lukashevich, Hanna		 Konferenzbeitrag
Conference Paper
2018 Music Technology and Education
Cano, E.; Dittmar, C.; Abeßer, J.; Kehling, C.; Grollmisch, S.		 Aufsatz in Buch
Book Article
2018 A Distributed Sensor Network for Monitoring Noise Level and Noise Sources in Urban Environments
Abeßer, Jakob; Götze, Marco; Kühnlenz, Stephanie; Gräfe, Robert; Kühn, Christian; Clauß, Tobias; Lukashevich, Hanna		 Konferenzbeitrag
Conference Paper
2018 Improving Bass Saliency Estimation using Label Propagation and Transfer Learning
Abeßer, Jakob; Balke, Stefan; Müller, Meinard		 Konferenzbeitrag
Conference Paper
2018 Computational Corpus Analysis: A Case Study on Jazz Solos
Weiß, Christof; Balke, Stefan; Abeßer, Jakob; Müller, Meinard		 Konferenzbeitrag
Conference Paper
2018 Stadtlärm - a distributed system for noise level measurement and noise source identification in a smart city environment
Clauß, Tobias; Abeßer, Jakob; Lukashevich, Hanna; Gräfe, Robert; Häuser, Franz; Kühn, Christian; Sporer, Thomas		 Konferenzbeitrag
Conference Paper
2018 Jazz Solo Instrument Classification with Convolutional Neural Networks, Source Separation, and Transfer Learning
Gomez, Juan S.; Abeßer, Jakob; Cano, Estefanía		 Konferenzbeitrag
Conference Paper
2017 Data-driven solo voice enhancement for jazz music retrieval
Balke, Stefan; Dittmar, Christian; Abeßer, Jakob; Müller, Meinard		 Konferenzbeitrag
Conference Paper
2017 Acoustic scene classification by combining autoencoder-based dimensionality reduction and convolutional neural networks
Abeßer, Jakob; Mimilakis, Stylianos-Ioannis; Gräfe, Robert; Lukashevich, Hanna		 Konferenzbeitrag
Conference Paper
2017 Instrument-centered music transcription of solo bass guitar recordings
Abeßer, Jakob; Schuller, Gerald		 Zeitschriftenaufsatz
Journal Article
2017 Score-informed analysis of tuning, intonation, pitch modulation, and dynamics in jazz solos
Abeßer, Jakob; Frieler, Klaus; Cano, Estefanía; Pfleiderer, Martin; Zaddach, Wolf-Georg		 Zeitschriftenaufsatz
Journal Article
2017 Deep learning for jazz walking bass transcription
Abeßer, Jakob; Balke, Stefan; Frieler, Klaus; Pfleiderer, Martin; Müller, Meinard		 Konferenzbeitrag
Conference Paper
2017 Inside the Jazzomat. New Perspectives for Jazz Research
Sammelband
Anthology
2016 Midlevel analysis of monophonic jazz solos: A new approach to the study of improvisation
Frieler, Klaus; Pfleiderer, Martin; Zaddach, Wolf-Georg; Abeßer, Jakob		 Zeitschriftenaufsatz
Journal Article
2016 New sonorities for jazz recordings: Separation and mixing using deep neural networks
Mimilakis, Stylianos-Ioannis; Cano, Estefanía; Abeßer, Jakob; Schuller, Gerald		 Konferenzbeitrag
Conference Paper
2016 Towards evaluating multiple predominant melody annotations in jazz recordings
Balke, Stefan; Driedger, Jonathan; Abeßer, Jakob; Dittmar, Christian; Müller, Meinard		 Konferenzbeitrag
Conference Paper
2016 Automatic best take detection for electric guitar and vocal studio recordings
Bönsel, Carsten; Abeßer, Jakob; Grollmisch, Sascha; Mimilakis, Stylianos-Ioannis		 Konferenzbeitrag
Conference Paper
2015 Parameter extraction for bass guitar sound models including playing styles
Schuller, Gerald; Abeßer, Jakob; Kehling, Christian		 Konferenzbeitrag
Conference Paper
2015 New sonorities for early jazz recordings using sound source separation and automatic mixing tools
Matz, Daniel; Cano, Estefanía; Abeßer, Jakob		 Konferenzbeitrag
Conference Paper
2015 Score-informed analysis of intonation and pitch modulation in jazz solos
Abeßer, Jakob; Cano, Estefanía; Frieler, Klaus; Pfleiderer, Martin; Zaddach, Wolf-Georg		 Konferenzbeitrag
Conference Paper
2014 A GMM Approach to Singing Language Identification
Kruspe, Anna M.; Abeßer, Jakob; Dittmar, Christian		 Konferenzbeitrag
Conference Paper
2014 Exploring phrase form structures. Pt.II: Monophonic jazz solos
Frieler, Klaus; Zaddach, Wolf-Georg; Abeßer, Jakob		 Konferenzbeitrag
Conference Paper
2014 Score-informed tracking and contextual analysis of fundamental frequency contours in trumpet and saxophone jazz solos
Abeßer, Jakob; Pfleiderer, Martin; Frieler, Klaus; Zaddach, Wolf-Georg		 Konferenzbeitrag
Conference Paper
2014 Automatic tablature transcription of electric guitar recordings by estimation of score- and instrument-related parameters
Kehling, Christian; Abeßer, Jakob; Dittmar, Christian; Schuller, Gerald		 Konferenzbeitrag
Conference Paper
2014 Instrument-centered music transcription of bass guitar tracks
Abeßer, J.; Schuller, G.		 Konferenzbeitrag
Conference Paper
2014 Automatic competency assessment of rhythm performances of ninth-grade and tenth-grade pupils
Abeßer, J.; Hasselhorn, J.; Grollmisch, S.; Dittmar, C.; Lehmann, A.		 Konferenzbeitrag
Conference Paper
2014 Automatic style classification of jazz records with respect to rhythm, tempo, and tonality
Eppler, Arndt; Männchen, Andreas; Abeßer, Jakob; Weiss, Christof; Frieler, Klaus		 Konferenzbeitrag
Conference Paper
2014 Dynamics in jazz improvisation - score-informed estimation and contextual analysis of tone intensities in trumpet and saxophone solos
Abeßer, Jakob; Cano, Estefanía; Frieler, Klaus; Pfleiderer, Martin		 Konferenzbeitrag
Conference Paper
2014 A multiple-expert framework for instrument recognition
Grasis, M.; Abeßer, J.; Dittmar, C.; Lukashevich, H.		 Konferenzbeitrag
Conference Paper
2013 Introducing the Jazzomat project - Jazz solo analysis using music information retrieval methods
Abeßer, Jakob; Frieler, Klaus; Pfleiderer, Martin; Zaddach, Wolf-Georg		 Konferenzbeitrag
Conference Paper
2013 Introducing the Jazzomat project and the MeloPy library
Frieler, Klaus; Pfleiderer, Martin; Abeßer, Jakob; Zaddach, Wolf-Georg		 Konferenzbeitrag
Conference Paper
2013 Real-time guitar string detection for music education software
Dittmar, Christian; Männchen, Andreas; Abeßer, Jakob		 Konferenzbeitrag
Conference Paper
2013 Automatic string detection for bass guitar and electric guitar
Abeßer, J.		 Konferenzbeitrag
Conference Paper
2013 A multiple-expert framework for instrument recognition
Grasis, Mikus; Abeßer, Jakob; Dittmar, Christian; Lukashevich, Hanna		 Konferenzbeitrag
Conference Paper
2013 Automatic quality assessment of vocal and instrumental performances of ninth-grade and tenth-grade pupils
Abeßer, Jakob; Hasselhorn, Johannes; Dittmar, Christian; Lehmann, Andreas; Grollmisch, Sascha		 Konferenzbeitrag
Conference Paper
2013 Towards coarse-scale event detection in music
Kruspe, Anna M.; Abeßer, Jakob; Dittmar, Christian		 Konferenzbeitrag
Conference Paper
2013 Parametric audio coding of bass guitar recordings using a tuned physical modeling algorithm
Abeßer, Jakob; Kramer, Patrick; Dittmar, Christian; Schuller, Gerald		 Konferenzbeitrag
Conference Paper
2012 Automatic singing assessment of pupil performances
Dittmar, Christian; Abeßer, Jakob; Grollmisch, Sascha; Hasselhorn, Johannes; Lehmann, Andreas		 Konferenzbeitrag
Conference Paper
2012 Improved music similarity computation based on tone objects
Krasser, Johannes; Abeßer, Jakob; Großmann, H.; Dittmar, C.; Cano, E.		 Konferenzbeitrag
Conference Paper
2012 Music information retrieval meets music education
Dittmar, Christian; Cano, Estefanía; Abeßer, Jakob; Grollmisch, Sascha		 Aufsatz in Buch
Book Article
2012 Towards cross-modal search and synchronization of music and video streams
Großmann, Holger; Kruspe, Anna; Abeßer, Jakob; Lukashevich, Hanna		 Konferenzbeitrag
Conference Paper
2012 A digital waveguide model of the electric bass guitar including different playing techniques
Kramer, Patrick; Abeßer, Jakob; Dittmar, Christian; Schuller, Gerald		 Konferenzbeitrag
Conference Paper
2012 Classification of music genres based on repetitive basslines
Abeßer, Jakob; Lukashevich, Hanna; Bräuer, Paul		 Zeitschriftenaufsatz
Journal Article
2012 Automatic string detection for bass guitar and electric guitar
Abeßer, Jakob		 Konferenzbeitrag
Conference Paper
2012 Automatic and Manual Annotation of Time-Varying Perceptual Properties in Movie Soundtracks
Dhandhania, Vedant; Abeßer, Jakob; Kruspe, Anna; Großmann, Holger		 Konferenzbeitrag
Conference Paper
2011 Automatic classification of musical pieces into global cultural areas
Kruspe, Anna; Lukashevich, Hanna; Abeßer, Jakob; Großmann, Holger; Dittmar, Christian		 Konferenzbeitrag
Conference Paper
2011 Rule-based classification of musical genres from a global cultural background
Abeßer, Jakob; Lukashevich, Hanna; Dittmar, Christian; Bräuer, Paul; Krause, Fabienne		 Konferenzbeitrag
Conference Paper
2011 Automatic recognition and parametrization of frequency modulation techniques in bass guitar recordings
Abeßer, Jakob; Dittmar, Christian; Schuller, Gerald		 Konferenzbeitrag
Conference Paper
2011 Songs2See and GlobalMusic2One: Two applied research projects in music information retrieval at Fraunhofer IDMT
Dittmar, Christian; Großmann, Holger; Cano, Estefania; Grollmisch, Sascha; Lukashevich, Hanna; Abeßer, Jakob		 Konferenzbeitrag
Conference Paper
2011 Artist filtering for non-western music classification
Kruspe, Anna; Lukashevich, Hanna; Abeßer, Jakob		 Konferenzbeitrag
Conference Paper
2011 Modelling musical attributes to characterize two-track recordings with bass and drums
Abeßer, Jakob; Lartillot, Oliver		 Konferenzbeitrag
Conference Paper
2011 Modeling musical attributes to characterize ensemble recordings using rhythmic audio features
Abeßer, Jakob; Lartillot, Oliver; Dittmar, Christian; Eerola, Tuomas; Schuller, Gerald		 Konferenzbeitrag
Conference Paper
2010 Bass Playing Style Detection based on High-Level Features and Pattern Similarity
Abeßer, Jakob; Bräuer, Paul; Lukashevich, Hanna; Schuller, Gerald		 Konferenzbeitrag
Conference Paper
2010 Feature-based extraction of plucking and expression styles of the electric bass guitar
Abeßer, Jakob; Lukashevich, Hanna; Schuller, Gerald		 Konferenzbeitrag
Conference Paper
2010 Automatic Recognition of Tonal Instruments in Polyphonic Music from different Cultural Backgrounds
Kahl, M.; Abeßer, J.; Dittmar, C.; Großmann, H.		 Konferenzbeitrag
Conference Paper
2010 Drumloop Separation using adaptive Spectrogram Templates
Dittmar, C.; Abeßer, J.; Gärtner, D.		 Konferenzbeitrag
Conference Paper
2010 Automatic Detection of Audio Effects in Guitar and Bass Recordings
Stein, M.; Abeßer, J.; Dittmar, C.; Schuller, G.		 Konferenzbeitrag
Conference Paper
2010 Automatic genre classification of Latin American music using characteristic rhythmic patterns
Völkel, Thomas; Abeßer, Jakob; Dittmar, Christian; Großmann, Holger		 Konferenzbeitrag
Conference Paper
2009 Genre classification using bass-related high-level features and playing styles
Abeßer, Jakob; Lukashevich, Hanna; Dittmar, Christian; Schuller, Gerald		 Konferenzbeitrag
Conference Paper
2009 Music search and recommendation
Brandenburg, Karlheinz; Dittmar, Christian; Gruhne, Matthias; Abeßer, Jakob; Lukashevich, Hanna; Dunker, Peter; Gärtner, D.; Wolter, Kay; Nowak, Stefanie; Großmann, Holger		 Aufsatz in Buch
Book Article
2009 From multi-labeling to multi-domain-labeling: A novel two-dimensional approach to music genre classification
Lukashevich, Hanna; Abeßer, Jakob; Dittmar, Christian; Großmann, Holger		 Konferenzbeitrag
Conference Paper
2008 Automatic genre and artist classification by analyzing improvised solo parts from musical recordings
Abeßer, J.; Dittmar, C.; Großmann, H.		 Konferenzbeitrag
Conference Paper
2008 Automatic music transcription with user interaction
Dittmar, C.; Abesser, J.		 Konferenzbeitrag
Conference Paper
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