Jakob Abeßer

ORCID

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 36

Top Venues

ISMIR

CoRR

EUSIPCO

Audio Mostly Conference

Technische Universität Ilmenau, Germany (PHD)

Education History

Technische Universität Ilmenau, Germany

PHD

Publications

Hanna M. Lukashevich, Sascha Grollmisch, Jakob Abeßer, Sebastian Stober, Joachim Bös
How reliable are posterior class probabilities in automatic music classification? Audio Mostly Conference (2023)
Jakob Abeßer, Sascha Grollmisch, Meinard Müller
How Robust are Audio Embeddings for Polyphonic Sound Event Tagging? IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Sascha Grollmisch, Estefanía Cano, Hanna M. Lukashevich, Jakob Abeßer
Uncertainty in Semi-Supervised Audio Classification - A Novel Extension for FixMatch. EUSIPCO (2023)
Franca Bittner, Marcel Gonzalez, Maike L. Richter, Hanna M. Lukashevich, Jakob Abeßer
Multi-pitch Estimation meets Microphone Mismatch: Applicability of Domain Adaptation. ISMIR (2022)
Stefan Balke, Julian Reck, Christof Weiß, Jakob Abeßer, Meinard Müller
JSD: A Dataset for Structure Analysis in Jazz Music. Trans. Int. Soc. Music. Inf. Retr. 5 (1) (2022)
Jakob Abeßer, Saichand Gourishetti, András Kátai, Tobias Clauß, Prachi Sharma, Judith Liebetrau
IDMT-Traffic: An Open Benchmark Dataset for Acoustic Traffic Monitoring Research. EUSIPCO (2021)
David S. Johnson, Wolfgang Lorenz, Michael Taenzer, Stylianos I. Mimilakis, Sascha Grollmisch, Jakob Abeßer, Hanna M. Lukashevich
DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection. EUSIPCO (2021)
Jakob Abeßer, Saichand Gourishetti, András Kátai, Tobias Clauß, Prachi Sharma, Judith Liebetrau
IDMT-Traffic: An Open Benchmark Dataset for Acoustic Traffic Monitoring Research. CoRR (2021)
Michael Taenzer, Stylianos I. Mimilakis, Jakob Abeßer
Deep Learning-Based Music Instrument Recognition: Exploring Learned Feature Representations. CMMR (2021)
David S. Johnson, Wolfgang Lorenz, Michael Taenzer, Stylianos I. Mimilakis, Sascha Grollmisch, Jakob Abeßer, Hanna M. Lukashevich
DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection. CoRR (2021)
Jakob Abeßer, Jaydeep Chauhan, Prateek Pradeep Pillai, Michael Taenzer, Stylianos I. Mimilakis
Predominant Jazz Instrument Recognition: Empirical Studies on Neural Network Architectures. EUSIPCO (2021)
Jakob Abeßer
USM-SED - A Dataset for Polyphonic Sound Event Detection in Urban Sound Monitoring Scenarios. CoRR (2021)
Jakob Abeßer, Meinard Müller
Towards Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement Learning. CoRR (2021)
Sebastian Ribecky, Jakob Abeßer, Hanna M. Lukashevich
Multi-input Architecture and Disentangled Representation Learning for Multi-dimensional Modeling of Music Similarity. CoRR (2021)
Alexandra Draghici, Jakob Abeßer, Hanna M. Lukashevich
A study on spoken language identification using deep neural networks. Audio Mostly Conference (2020)
Jakob Abeßer, Sara Kepplinger
Smart Solutions to Cope with Urban Noise Pollution. ERCIM News 2019 (119) (2019)
Jakob Abeßer, Meinard Müller
Fundamental Frequency Contour Classification: A Comparison between Hand-crafted and CNN-based Features. ICASSP (2019)
Sascha Grollmisch, Jakob Abeßer, Judith Liebetrau, Hanna M. Lukashevich
Sounding Industry: Challenges and Datasets for Industrial Sound Analysis. EUSIPCO (2019)
Michael Taenzer, Jakob Abeßer, Stylianos I. Mimilakis, Christof Weiss, Meinard Müller
Investigating CNN-based Instrument Family Recognition for Western Classical Music Recordings. ISMIR (2019)
Jakob Abeßer, Marco Götze, Tobias Clauß, Dominik Zapf, Christian Kühn, Hanna M. Lukashevich, Stephanie Kühnlenz, Stylianos I. Mimilakis
Urban Noise Monitoring in the Stadtlärm Project - A Field Report. DCASE (2019)
Stylianos I. Mimilakis, Christof Weiss, Vlora Arifi-Müller, Jakob Abeßer, Meinard Müller
Cross-version Singing Voice Detection in Opera Recordings: Challenges for Supervised Learning. PKDD/ECML Workshops (2) (2019)
Matthias Nowakowski, Christof Weiß, Jakob Abeßer
Towards Deep Learning Strategies for Transcribing Electroacoustic Music. CMMR (2019)
Christof Weiss, Stefan Balke, Jakob Abeßer, Meinard Müller
Computational Corpus Analysis: A Case Study on Jazz Solos. ISMIR (2018)
Juan S. Gómez, Jakob Abeßer, Estefanía Cano
Jazz Solo Instrument Classification with Convolutional Neural Networks, Source Separation, and Transfer Learning. ISMIR (2018)
Jakob Abeßer, Stefan Balke, Meinard Müller
Improving Bass Saliency Estimation Using Transfer Learning and Label Propagation. ISMIR (2018)
Stefan Balke, Christian Dittmar, Jakob Abeßer, Klaus Frieler, Martin Pfleiderer, Meinard Müller
Bridging the Gap: Enriching YouTube Videos with Jazz Music Annotations. Frontiers Digit. Humanit. 5 (2018)
Jakob Abeßer, Marco Götze, Stephanie Kühnlenz, Robert Gräfe, Christian Kühn, Tobias Clauß, Hanna M. Lukashevich
A Distributed Sensor Network for Monitoring Noise Level and Noise Sources in Urban Environments. FiCloud (2018)
Jakob Abeßer, Stefan Balke, Klaus Frieler, Martin Pfleiderer, Meinard Müller
Deep Learning for Jazz Walking Bass Transcription. Semantic Audio (2017)
Jakob Abeßer, Stylianos Ioannis Mimilakis, Robert Gräfe, Hanna M. Lukashevich
Acoustic Scene Classification by Combining Autoencoder-Based Dimensionality Reduction and Convolutional Neural Networks. DCASE (2017)
Jakob Abeßer, Gerald Schuller
Instrument-Centered Music Transcription of Solo Bass Guitar Recordings. IEEE ACM Trans. Audio Speech Lang. Process. 25 (9) (2017)
Jakob Abeßer, Klaus Frieler, Estefanía Cano, Martin Pfleiderer, Wolf-Georg Zaddach
Score-Informed Analysis of Tuning, Intonation, Pitch Modulation, and Dynamics in Jazz Solos. IEEE ACM Trans. Audio Speech Lang. Process. 25 (1) (2017)
Stefan Balke, Christian Dittmar, Jakob Abeßer, Meinard Müller
Data-driven solo voice enhancement for jazz music retrieval. ICASSP (2017)
Stefan Balke, Jonathan Driedger, Jakob Abeßer, Christian Dittmar, Meinard Müller
Towards Evaluating Multiple Predominant Melody Annotations in Jazz Recordings. ISMIR (2016)
Gerald Schuller, Jakob Abeßer, Christian Kehling
Parameter extraction for bass guitar sound models including playing styles. ICASSP (2015)
Jakob Abeßer, Estefanía Cano, Klaus Frieler, Martin Pfleiderer, Wolf-Georg Zaddach
Score-Informed Analysis of Intonation and Pitch Modulation in Jazz Solos. ISMIR (2015)
Daniel Matz, Estefanía Cano, Jakob Abeßer
New Sonorities for Early Jazz Recordings Using Sound Source Separation and Automatic Mixing Tools. ISMIR (2015)
Christian Kehling, Jakob Abeßer, Christian Dittmar, Gerald Schuller
Automatic Tablature Transcription of Electric Guitar Recordings by Estimation of Score- and Instrument-Related Parameters. DAFx (2014)
Jakob Abeßer, Gerald Schuller
Instrument-Centered Music Transcription of Bass Guitar Tracks. Semantic Audio (2014)
Jakob Abeßer, Johannes Hasselhorn, Sascha Grollmisch, Christian Dittmar, Andreas Lehmann
Automatic Competency Assessment of Rhythm Performances of Ninth-grade and Tenth-grade Pupils. ICMC (2014)
Jakob Abeßer, Martin Pfleiderer, Klaus Frieler, Wolf-Georg Zaddach
Score-Informed Tracking and Contextual Analysis of Fundamental Frequency Contours in Trumpet and Saxophone Jazz Solos. DAFx (2014)
Anna M. Kruspe, Jakob Abeßer, Christian Dittmar
A GMM Approach to Singing Language Identification. Semantic Audio (2014)
Anna M. Kruspe, Jakob Abeßer, Christian Dittmar
Towards coarse-scale event detection in music. Audio Mostly Conference (2013)
Mikus Grasis, Jakob Abeßer, Christian Dittmar, Hanna M. Lukashevich
A Multiple-Expert Framework for Instrument Recognition. CMMR (2013)
Christian Dittmar, Andreas Mannchen, Jakob Abeßer
Real-time guitar string detection for music education software. WIAMIS (2013)
Patrick Kramer, Jakob Abeßer, Christian Dittmar, Gerald Schuller
A digitalwaveguide model of the electric bass guitar including different playing techniques. ICASSP (2012)
Jakob Abeßer
Automatic String Detection for Bass Guitar and Electric Guitar. CMMR (2012)
Johannes Krasser, Jakob Abeßer, Holger Großmann, Christian Dittmar, Estefanía Cano
Improved music similarity computation based on tone objects. Audio Mostly Conference (2012)
Anna M. Kruspe, Hanna M. Lukashevich, Jakob Abeßer
Artist filtering for non-western music classification. Audio Mostly Conference (2011)
Jakob Abeßer, Christian Dittmar, Gerald Schuller
Automatic Recognition and Parametrization of Frequency Modulation Techniques in Bass Guitar Recordings. Semantic Audio (2011)
Jakob Abeßer, Olivier Lartillot, Christian Dittmar, Tuomas Eerola, Gerald Schuller
Modeling musical attributes to characterize ensemble recordings using rhythmic audio features. ICASSP (2011)
Jakob Abeßer, Olivier Lartillot
Modeling Musical Attributes to Characterize Two-Track Recordings with Bass and Drums. ISMIR (2011)
Anna M. Kruspe, Hanna M. Lukashevich, Jakob Abeßer, Holger Großmann, Christian Dittmar
Automatic Classification of Musical Pieces into Global Cultural Areas. Semantic Audio (2011)
Jakob Abeßer, Hanna M. Lukashevich, Gerald Schuller
Feature-based extraction of plucking and expression styles of the electric bass guitar. ICASSP (2010)
Thomas Völkel, Jakob Abeßer, Christian Dittmar, Holger Großmann
Automatic genre classification of Latin American music using characteristic rhythmic patterns. Audio Mostly Conference (2010)
Christian Dittmar, Holger Großmann, Estefanía Cano, Sascha Grollmisch, Hanna M. Lukashevich, Jakob Abeßer
Songs2See and GlobalMusic2One: Two Applied Research Projects in Music Information Retrieval at Fraunhofer IDMT. CMMR (2010)
Jakob Abeßer, Paul Bräuer, Hanna M. Lukashevich, Gerald Schuller
Bass Playing Style Detection Based on High-level Features and Pattern Similarity. ISMIR (2010)
Jakob Abeßer, Hanna M. Lukashevich, Christian Dittmar, Gerald Schuller
Genre Classification Using Bass-Related High-Level Features and Playing Styles. ISMIR (2009)
Hanna M. Lukashevich, Jakob Abeßer, Christian Dittmar, Holger Großmann
From Multi-Labeling to Multi-Domain-Labeling: A Novel Two-Dimensional Approach to Music Genre Classification. ISMIR (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jakob Abeßer