default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJakob Abeßer
Person information
- affiliation: Fraunhofer Institute for Digital Media Technology (IDMT), Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Books and Theses
- 2014
[b1]Jakob Abeßer:
Automatic transcription of bass guitar tracks applied for music genre classification and sound synthesis. Technische Universität Ilmenau, Germany, 2014, pp. 1-168
Journal Articles
- 2025
- [j6]Jakob Abeßer
, Zhiwei Liang, Bernhard U. Seeber:
Sound recurrence analysis for acoustic scene classification. EURASIP J. Audio Speech Music. Process. 2025(1): 1 (2025) - 2023
- [j5]Jakob Abeßer, Sascha Grollmisch, Meinard Müller:
How Robust are Audio Embeddings for Polyphonic Sound Event Tagging? IEEE ACM Trans. Audio Speech Lang. Process. 31: 2658-2667 (2023) - 2022
- [j4]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): 156-172 (2022) - 2018
- [j3]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: 1 (2018) - 2017
- [j2]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): 168-177 (2017) - [j1]Jakob Abeßer, Gerald Schuller:
Instrument-Centered Music Transcription of Solo Bass Guitar Recordings. IEEE ACM Trans. Audio Speech Lang. Process. 25(9): 1741-1750 (2017)
Conference and Workshop Papers
- 2024
- [c51]Amir Latifi Bidarouni, Jakob Abeßer:
Towards Domain Shift in Location-Mismatch Scenarios for Bird Activity Detection. EUSIPCO 2024: 1267-1271 - [c50]Pitchapa Ngamthipwatthana, Marco Götze, András Kátai, Jakob Abeßer:
Towards Measuring and Forecasting Noise Exposure at the VELTINS-Arena in Gel senkirchen, Germany. IS2 2024: 1-8 - [c49]Konstantinos Apostolidis, Jakob Abeßer, Luca Cuccovillo, Vasileios Mezaris:
Visual and audio scene classification for detecting discrepancies in video: a baseline method and experimental protocol. MAD@ICMR 2024: 30-36 - 2023
- [c48]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: 45-50 - [c47]Sascha Grollmisch, Estefanía Cano, Hanna M. Lukashevich, Jakob Abeßer:
Uncertainty in Semi-Supervised Audio Classification - A Novel Extension for FixMatch. EUSIPCO 2023: 161-165 - [c46]Amir Latifi Bidarouni, Jakob Abeßer:
Unsupervised Feature-Space Domain Adaptation applied for Audio Classification. IS2 2023: 1-7 - 2022
- [c45]Franca Bittner, Marcel Gonzalez, Maike L. Richter, Hanna M. Lukashevich, Jakob Abeßer:
Multi-pitch Estimation meets Microphone Mismatch: Applicability of Domain Adaptation. ISMIR 2022: 477-484 - 2021
- [c44]Michael Taenzer, Stylianos I. Mimilakis, Jakob Abeßer:
Deep Learning-Based Music Instrument Recognition: Exploring Learned Feature Representations. CMMR 2021: 32-46 - [c43]Jakob Abeßer, Jaydeep Chauhan, Prateek Pradeep Pillai, Michael Taenzer, Stylianos I. Mimilakis:
Predominant Jazz Instrument Recognition: Empirical Studies on Neural Network Architectures. EUSIPCO 2021: 361-365 - [c42]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: 551-555 - [c41]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: 556-560 - 2020
- [c40]Alexandra Draghici, Jakob Abeßer, Hanna M. Lukashevich:
A study on spoken language identification using deep neural networks. Audio Mostly Conference 2020: 253-256 - 2019
- [c39]Matthias Nowakowski, Christof Weiß, Jakob Abeßer:
Towards Deep Learning Strategies for Transcribing Electroacoustic Music. CMMR 2019: 48-59 - [c38]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: 1-4 - [c37]Sascha Grollmisch, Jakob Abeßer, Judith Liebetrau, Hanna M. Lukashevich:
Sounding Industry: Challenges and Datasets for Industrial Sound Analysis. EUSIPCO 2019: 1-5 - [c36]Jakob Abeßer, Meinard Müller:
Fundamental Frequency Contour Classification: A Comparison between Hand-crafted and CNN-based Features. ICASSP 2019: 486-490 - [c35]Michael Taenzer, Jakob Abeßer, Stylianos I. Mimilakis, Christof Weiss, Meinard Müller:
Investigating CNN-based Instrument Family Recognition for Western Classical Music Recordings. ISMIR 2019: 612-619 - [c34]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: 429-436 - 2018
- [c33]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: 318-324 - [c32]Jakob Abeßer, Stefan Balke, Meinard Müller:
Improving Bass Saliency Estimation Using Transfer Learning and Label Propagation. ISMIR 2018: 306-312 - [c31]Christof Weiss, Stefan Balke, Jakob Abeßer, Meinard Müller:
Computational Corpus Analysis: A Case Study on Jazz Solos. ISMIR 2018: 416-423 - [c30]Juan S. Gómez, Jakob Abeßer, Estefanía Cano:
Jazz Solo Instrument Classification with Convolutional Neural Networks, Source Separation, and Transfer Learning. ISMIR 2018: 577-584 - 2017
- [c29]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: 7-11 - [c28]Stefan Balke, Christian Dittmar, Jakob Abeßer, Meinard Müller:
Data-driven solo voice enhancement for jazz music retrieval. ICASSP 2017: 196-200 - [c27]Jakob Abeßer, Stefan Balke, Klaus Frieler, Martin Pfleiderer, Meinard Müller:
Deep Learning for Jazz Walking Bass Transcription. Semantic Audio 2017 - 2016
- [c26]Stefan Balke, Jonathan Driedger, Jakob Abeßer, Christian Dittmar, Meinard Müller:
Towards Evaluating Multiple Predominant Melody Annotations in Jazz Recordings. ISMIR 2016: 246-252 - 2015
- [c25]Gerald Schuller, Jakob Abeßer, Christian Kehling:
Parameter extraction for bass guitar sound models including playing styles. ICASSP 2015: 404-408 - [c24]Daniel Matz, Estefanía Cano, Jakob Abeßer:
New Sonorities for Early Jazz Recordings Using Sound Source Separation and Automatic Mixing Tools. ISMIR 2015: 749-755 - [c23]Jakob Abeßer, Estefanía Cano, Klaus Frieler, Martin Pfleiderer, Wolf-Georg Zaddach:
Score-Informed Analysis of Intonation and Pitch Modulation in Jazz Solos. ISMIR 2015: 823-829 - 2014
- [c22]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: 181-186 - [c21]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: 219-226 - [c20]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 - [c19]Jakob Abeßer, Gerald Schuller:
Instrument-Centered Music Transcription of Bass Guitar Tracks. Semantic Audio 2014 - [c18]Anna M. Kruspe, Jakob Abeßer, Christian Dittmar:
A GMM Approach to Singing Language Identification. Semantic Audio 2014 - 2013
- [c17]Anna M. Kruspe, Jakob Abeßer, Christian Dittmar:
Towards coarse-scale event detection in music. Audio Mostly Conference 2013: 19:1-19:6 - [c16]Mikus J. Grasis, Jakob Abeßer, Christian Dittmar, Hanna M. Lukashevich:
A Multiple-Expert Framework for Instrument Recognition. CMMR 2013: 619-634 - [c15]Christian Dittmar, Andreas Mannchen, Jakob Abeßer:
Real-time guitar string detection for music education software. WIAMIS 2013: 1-4 - 2012
- [c14]Johannes Krasser, Jakob Abeßer, Holger Großmann, Christian Dittmar, Estefanía Cano:
Improved music similarity computation based on tone objects. Audio Mostly Conference 2012: 47-54 - [c13]Jakob Abeßer:
Automatic String Detection for Bass Guitar and Electric Guitar. CMMR 2012: 333-352 - [c12]Patrick Kramer, Jakob Abeßer, Christian Dittmar, Gerald Schuller:
A digitalwaveguide model of the electric bass guitar including different playing techniques. ICASSP 2012: 353-356 - 2011
- [c11]Anna M. Kruspe, Hanna M. Lukashevich, Jakob Abeßer:
Artist filtering for non-western music classification. Audio Mostly Conference 2011: 82-87 - [c10]Jakob Abeßer, Olivier Lartillot, Christian Dittmar, Tuomas Eerola, Gerald Schuller:
Modeling musical attributes to characterize ensemble recordings using rhythmic audio features. ICASSP 2011: 189-192 - [c9]Jakob Abeßer, Olivier Lartillot:
Modeling Musical Attributes to Characterize Two-Track Recordings with Bass and Drums. ISMIR 2011: 209-214 - [c8]Jakob Abeßer, Christian Dittmar, Gerald Schuller:
Automatic Recognition and Parametrization of Frequency Modulation Techniques in Bass Guitar Recordings. Semantic Audio 2011 - [c7]Anna M. Kruspe, Hanna M. Lukashevich, Jakob Abeßer, Holger Großmann, Christian Dittmar:
Automatic Classification of Musical Pieces into Global Cultural Areas. Semantic Audio 2011 - 2010
- [c6]Thomas Völkel, Jakob Abeßer, Christian Dittmar, Holger Großmann:
Automatic genre classification of Latin American music using characteristic rhythmic patterns. Audio Mostly Conference 2010: 16 - [c5]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: 259-272 - [c4]Jakob Abeßer, Hanna M. Lukashevich, Gerald Schuller:
Feature-based extraction of plucking and expression styles of the electric bass guitar. ICASSP 2010: 2290-2293 - [c3]Jakob Abeßer, Paul Bräuer, Hanna M. Lukashevich, Gerald Schuller:
Bass Playing Style Detection Based on High-level Features and Pattern Similarity. ISMIR 2010: 93-98 - 2009
- [c2]Jakob Abeßer, Hanna M. Lukashevich, Christian Dittmar, Gerald Schuller:
Genre Classification Using Bass-Related High-Level Features and Playing Styles. ISMIR 2009: 453-458 - [c1]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: 459-464
Parts in Books or Collections
- 2012
- [p2]Christian Dittmar, Estefanía Cano, Jakob Abeßer, Sascha Grollmisch:
Music Information Retrieval Meets Music Education. Multimodal Music Processing 2012: 95-120 - 2009
- [p1]Karlheinz Brandenburg, Christian Dittmar, Matthias Gruhne, Jakob Abeßer, Hanna M. Lukashevich, Peter Dunker, Daniel Gärtner, Kay Wolter, Holger Grossmann:
Music Search and Recommendation. Handbook of Multimedia for Digital Entertainment and Arts 2009: 349-384
Editorship
- 2017
- [e1]Christian Dittmar, Jakob Abeßer, Meinard Müller:
AES International Conference Semantic Audio 2017, Erlangen, Germany, June 22-24, 2017. Audio Engineering Society 2017, ISBN 978-1-942220-15-2 [contents]
Informal and Other Publications
- 2025
- [i8]Jakob Abeßer, Simon J. Schwär, Meinard Müller:
Pitch Contour Exploration Across Audio Domains: A Vision-Based Transfer Learning Approach. CoRR abs/2503.19161 (2025) - 2024
- [i7]Konstantinos Apostolidis, Jakob Abeßer, Luca Cuccovillo, Vasileios Mezaris:
Visual and audio scene classification for detecting discrepancies in video: a baseline method and experimental protocol. CoRR abs/2405.00384 (2024) - 2021
- [i6]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 abs/2102.08833 (2021) - [i5]Jakob Abeßer, Saichand Gourishetti, András Kátai, Tobias Clauß, Prachi Sharma, Judith Liebetrau:
IDMT-Traffic: An Open Benchmark Dataset for Acoustic Traffic Monitoring Research. CoRR abs/2104.13620 (2021) - [i4]Jakob Abeßer:
USM-SED - A Dataset for Polyphonic Sound Event Detection in Urban Sound Monitoring Scenarios. CoRR abs/2105.02592 (2021) - [i3]Jakob Abeßer, Meinard Müller:
Towards Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement Learning. CoRR abs/2110.13586 (2021) - [i2]Sebastian Ribecky, Jakob Abeßer, Hanna M. Lukashevich:
Multi-input Architecture and Disentangled Representation Learning for Multi-dimensional Modeling of Music Similarity. CoRR abs/2111.01710 (2021) - 2019
- [i1]Jakob Abeßer, Sara Kepplinger:
Smart Solutions to Cope with Urban Noise Pollution. ERCIM News 2019(119) (2019)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-05-27 22:01 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
