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AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
Abeßer, J., Wang, X., Bnsch, S., Scherber, C. and Lukashevich, H. Analyzing Bird and Bat Activity in Agricultural Environments using AI-driven Audio Monitoring 2022 in Proceedings of the 48. Jahrestagung fr Akustik (DAGA)  inproceedings  
Abeßer, J., Loos, A. and Sharma, P. Construction-sAIt: Multi-modal AI-driven technologies for construction site monitoring 2022 in Proceedings of the 48. Jahrestagung fr Akustik (DAGA)  inproceedings  
Gourishetti, S., Grollmisch, S., Abeßer, J. and Liebetrau, J. Potentials and Challenges of AI-based Audio Analysis in Industrial Sound Analysis 2022 in Proceedings of the 48. Jahrestagung fr Akustik (DAGA)  inproceedings  
Abeßer, J. and Müller, M. Jazz Bass Transcription Using a U-Net Architecture 2021 Electronics
Vol. 10(6) 
article DOI URL 
Abeßer, J., Chauhan, J., Pillai, P.P., Taenzer, M. and Mimilakis, S.I. Predominant Jazz Instrument Recognition: Empirical Studies on Neural Network Architectures 2021 Proceedings of the European Signal Processing Conference (EUSIPCO)  inproceedings  
Abeßer, J., Gourishetti, S., Kátai, A., Clauß, T., Sharma, P. and Liebetrau, J. IDMT-Traffic: An Open Benchmark Dataset for Acoustic Traffic Monitoring Research 2021 Proceedings of the European Signal Processing Conference (EUSIPCO)  inproceedings  
Abeßer, J. USM-SED - A Dataset for Polyphonic Sound Event Detection in Urban Sound Monitoring Scenarios 2021 arXiv preprint arXiv:2105.02592  article  
Bittner, F., Abeßer, J., Nadar, C.-R., Lukashevich, H. and Kramer, P. A Novel Dataset for Time-Dependent Harmonic Similarity between Chord Sequences 2021 Late-Breaking Demo Session of the International Society of Music Information Retrieval Conference (ISMIR)  inproceedings  
Gourishetti, S., Abeßer, J., Grollmisch, S., Kátai, A. and Liebetrau, J. Investigating the influence of microphone mismatch for acoustic traffic monitoring 2021 Proceedings of the INTER-NOISE, pp. 2949-3943  inproceedings  
Johnson, D.S., Lorenz, W., Taenzer, M., Mimilakis, S., Grollmisch, S., Abeßer, J. and Lukashevich, H. DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection 2021 arXiv preprint arXiv:2102.08833Proceedings of the European Signal Processing Conference (EUSIPCO)  inproceedings URL 
Taenzer, M., Mimilakis, S.I. and Abeßer, J. Deep Learning-Based Music Instrument Recognition: Exploring Learned Feature Representation 2021 Proceedings of the International Symposium on Computer Music Multidisciplinary Research (CMMR)  inproceedings  
Taenzer, M., Mimilakis, S.I. and Abeßer, J. Informing Piano Multi-Pitch Estimation with Inferred Local Polyphony Based on Convolutional Neural Networks 2021 Electronics
Vol. 10(7) 
article DOI URL 
Abeßer, J. A Review of Deep Learning Based Methods for Acoustic Scene Classification 2020 Applied Sciences
Vol. 10(6) 
article DOI URL 
Clauß, T. and Abeßer, J. Identifikation urbaner Geräuschquellen mittels maschineller Lernverfahren 2020 Lärmbekämpfung(3)  article  
Draghici, A., Abeßer, J. and Lukashevich, H. A study on spoken language identification using deep neural networks 2020 Proceedings of the 15th International Conference on Audio Mostly, pp. 253-256  inproceedings  
Nowakowsi, M., Weiß, C. and Abeßer, J. Towards Deep Learning Strategies for Transcribing Electroacoustic Music 2020 Proceedings of the 15th International Symposium on Computer Music Multidisciplinary Research (CMMR)  inproceedings  
Abeßer, J., Götze, M., Clauß, T., Zapf, D., Kühn, C., Lukashevich, H., Kühnlenz, S. and Mimilakis, S.I. Urban Noise Monitoring in the Stadtlärm Project - A Field Report 2019 Proceedings of the Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop  inproceedings  
Abeßer, J. and Kepplinger, S. Smart Solutions to Cope with Urban Noise Pollution 2019 ERCIM  article  
Abeßer, J. and Müller, M. Fundamental Frequency Contour Classification: A Comparison between Hand-Crafted and CNN-Based Features 2019 Proceedings of the 44th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)  inproceedings  
Grollmisch, S., Abeßer, J., Liebetrau, J. and Lukashevich, H. Sounding Industry: Challenges and Datasets for Industrial Sound Analysis 2019 Proceedings of the 27th European Signal Processing Conference (EUSIPCO)  inproceedings  
Mimilakis, S.I., Weiß, C., Arifi-Müller, V., Abeßer, J. and Müller, M. Cross-Version Singing Voice Detection in Opera Recordings: Challenges for Supervised Learning 2019 Proceedings of the 12th International Workshop on Machine Learning and Music (MML)  inproceedings  
Nadar, C.-R., Abeßer, J. and Grollmisch, S. Towards CNN-based Acoustic Modeling of Seventh Chords for Recognition Chord Recognition 2019 Proceedings of the 16th Sound & Music Computing Conference (SMC)  inproceedings  
Taenzer, M., Abeßer, J., Mimilakis, S.I., Weiß, C., Müller, M. and Lukashevich, H. Investigating CNN-Based Instrument Family Recording for Western Classical Music Recordings 2019 Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR)  inproceedings  
Abeßer, J., Balke, S. and Müller, M. Improving Bass Saliency Estimation using Label Propagation and Transfer Learning 2018 Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), pp. 306-312  inproceedings  
Abeßer, J., Gräfe, R., Kühn, C., Clauß, T., Lukashevich, H., Götze, M. and Kühnlenz, S. A Distributed Sensor Network for Monitoring Noise Level and Noise Sources in Urban Environments 2018 Proceedings of the 6th IEEE International Conference on Future Internet of Things and Cloud (FiCloud), pp. 318-324  inproceedings  
Balke, S., Dittmar, C., Abeßer, J., Frieler, K., Pfleiderer, M. and Müller, M. Bridging the Gap: Enriching YouTube Videos with Jazz Music Annotations 2018 Frontiers in Digital Humanities
Vol. 5, pp. 1 
article DOI URL 
Clauß, T., Abeßer, J., Lukashevich, H., Gräfe, R., Häuser, F., Kühn, C. and Sporer, T. Stadtlärm - a distributed system for noise level measurement and noise source identification in a smart city environment 2018 Proceedings of the Deutsche Jahrestagung für Akustik (DAGA), pp. 285-288  inproceedings  
Gómez, J.S., Abeßer, J. and Cano, E. Jazz Solo Instrument Classification with Convolutional Neural Networks, Source Separation, and Transfer Learning 2018 Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), pp. 577-584  inproceedings  
Weiß, C., Balke, S., Abeßer, J. and Müller, M. Computational Corpus Analysis: A Case Study on Jazz Solos 2018 Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), pp. 416-423  inproceedings  
Abeßer, J. and Schuller, G. Instrument-Centered Music Transcription of Solo Bass Guitar Recordings 2017 IEEE/ACM Transactions on Audio, Speech, and Language Processing
Vol. 25(9), pp. 1741-1750 
article DOI  
Abeßer, J., Balke, S., Frieler, K., Pfleiderer, M. and Müller, M. Deep Learning for Jazz Walking Bass Transcription 2017 Proceedings of the AES International Conference on Semantic Audio  inproceedings  
Proceedings of the AES International Conference on Semantic Audio 2017   proceedings  
Abeßer, J., Mimilakis, S.I., Gräfe, R. and Lukashevich, H. Acoustic Scene Classification by Combining Autoencoder-Based Dimensionality Reduction and Convolutional Neural Networks 2017 Proceedings of the 2nd DCASE Workshop on Detection and Classification of Acoustic Scenes and Events  inproceedings  
Abeßer, J., Frieler, K., Cano, E., Pfleiderer, M. and Zaddach, W.-G. Score-Informed Analysis of Tuning, Intonation, Pitch Modulation, and Dynamics in Jazz Solos 2017 IEEE/ACM Transactions on Audio, Speech, and Language Processing
Vol. 25(1), pp. 168-177 
article DOI  
Frieler, K., Pfleiderer, M., Abeßer, J. and Zaddach., W.-G. Chasing the Difference. Computer-aided Comparison of Improvisation in Post-bop, Hard bop, and Bebop. 2017 Jazzforschung / Jazz Research
Vol. 46, pp. 249-274 
article  
Inside the Jazzomat - New Perspectives for Jazz Research 2017   book URL 
Balke, S., Driedger, J., Abeßer, J. and Müller, M. Towards evaluating multiple predominant melody annotations in jazz recordings 2016 Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR), pp. 246-252  inproceedings  
Bönsel, C., Abeßer, J., Grollmisch, S. and Mimilakis, S.I. Automatic Best Take Detection for Electric Guitar and Vocal Studio Recordings 2016 Proceedings of the 2nd AES Workshop on Intelligent Music Production  inproceedings  
Frieler, K., Pfleiderer, M., Abeßer, J. and Zaddach., W.-G. Midlevel analysis of monophonic jazz solos. A new approach to the study of improvisation 2016 Musicae Scientiae
Vol. 20(2), pp. 143-162 
article URL 
Mimilakis, S.I., Cano, E., Abeßer, J. and Schuller, G. New sonorities for jazz recordings: separation and mixing using deep neural networks 2016 Proceedings of the 2nd AES Workshop on Intelligent Music Production  inproceedings  
Abeßer, J., Cano, E., Frieler, K., Pfleiderer, M. and Zaddach, W.-G. Score-informed analysis of intonation and pitch modulation in jazz solos 2015 Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), pp. 823-829  inproceedings  
Matz, D., Cano, E. and Abeßer, J. New Sonorities for Early Jazz Recordings Using Sound Source Separation and Automatic Mixing Tools 2015 Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), pp. 749-755  inproceedings  
Schuller, G., Abeßer, J. and Kehling, C. Parameter Extraction For Bass Guitar Sound Models Including Playing Styles 2015 Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP)  inproceedings  
Abeßer, J. and Schuller, G. Instrument-centered Music Transcription of Bass Guitar Tracks 2014 Proceedings of the AES Conference on Semantic Audio  inproceedings  
Abeßer, J., Cano, E., Frieler, K. and Pfleiderer, M. Dynamics in jazz improvisation - Score-informed estimation and contextual analysis of tone intensities in trumpet and saxophone solos 2014 Proceedings of the Conference on Interdisciplinary Musicology (CIM), pp. 156-161  inproceedings  
Abeßer, J., Pfleiderer, M., Frieler, K. and Zaddach, W.-G. Score-informed Tracking and Contextual Analysis of Fundamental Frequency Contours in Trumpet and Saxophone Jazz Solos 2014 Proceedings of the International Conference on Digital Audio Effects (DAFx), pp. 181-186  inproceedings  
Abeßer, J. Automatic Transcription of Bass Guitar Tracks applied for Music Genre Classification and Sound Synthesis 2014 School: Technische Universität Ilmenau  phdthesis  
Eppler, A., Männchen, A., Abeßer, J., Weiß, C. and Frieler, K. Automatic style classification of jazz records with respect to rhythm, tempo, and tonality 2014 Proceedings of the Conference on Interdisciplinary Musicology (CIM), pp. 162-167  inproceedings  
Frieler, K., Zaddach, W.-G. and Abeßer, J. Exploring phrase form structures. Pt. II: Monophonic jazz solos 2014 Proceedings of the International Workshop on Folk Music Analysis (FMA), pp. 48-51  inproceedings  
Kehling, C., Abeßer, J., Dittmar, C. and Schuller, G. Automatic Tablature Transcription of Electric Guitar Recordings by Estimation of Score- and Instrument-related Parameters 2014 Proceedings of the International Conference on Digital Audio Effects (DAFx)  inproceedings  
Kruspe, A.M., Abeßer, J. and Dittmar, C. A GMM Approach to Singing Language Identification 2014 Proceedings of the AES International Conference on Semantic Audio, pp. 140-148  inproceedings  
Abeßer, J., Frieler, K., Pfleiderer, M. and Zaddach, W.-G. Introducing the Jazzomat project - Jazz solo analysis using Music Information Retrieval methods 2013 Proceedings of the International Symposium on Computer Music Multidisciplinary Research (CMMR)  inproceedings  
Abeßer, J., Hasselhorn, J., Dittmar, C., Lehmann, A. and Grollmisch, S. Automatic Quality Assessment of Vocal and Instrumental Performances of Ninth-grade and Tenth-grade Pupils 2013 Proceedings of the International Symposium on Computer Music Multidisciplinary Research (CMMR)  inproceedings  
Abeßer, J., Kramer, P., Dittmar, C. and Schuller, G. Parametric Audio Coding of Bass Guitar Recordings using a Tuned Physical Modeling Algorithm 2013 Proceedings of the International Conference on Digital Audio Effects (DAFx)  inproceedings  
Dittmar, C., Männchen, A. and Abeßer, J. Real-time guitar string detection for music education software 2013 Proceedings of the nternational Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS)  inproceedings  
Frieler, K., Abeßer, J., Zaddach, W.-G. and Pfleiderer, M. Introducing the Jazzomat Project and the Melo(S)py Library 2013 Proceedings of the International Workshop on Folk Music Analysis (FMA), pp. 76-78  inproceedings  
Grasis, M., Abeßer, J., Dittmar, C. and Lukashevich, H. A Multiple-Expert Framework for Instrument Recognition 2013 Proceedings of the International Symposium on Computer Music Multidisciplinary Research (CMMR)  inproceedings  
Kruspe, A.M., Abeßer, J. and Dittmar, C. Towards coarse-scale event detection in music 2013 Proceedings of the Audio Mostly Conference on Interaction with Sound  inproceedings  
Abeßer, J. Automatic String Detection for Bass Guitar and Electric Guitar 2012
Vol. 7900From Sounds to Music and Emotions, pp. 333-352 
incollection  
Abeßer, J., Lukashevich, H. and Bräuer, P. Classification of Music Genres based on Repetitive Basslines 2012 Journal of New Music Research
Vol. 41(3), pp. 239-257 
article  
Dhandhania, V., Abeßer, J., Kruspe, A. and Großmann, H. Automatic and Manual Annotation of Time-Varying Perceptual Properties in Movie Soundtracks 2012 Proceedings of the Sound and Music Computing Conference (SMC), pp. 461-466  inproceedings  
Dittmar, C., Cano, E., Abeßer, J. and Grollmisch, S. Music Information Retrieval Meets Music Education 2012
Vol. 3Multimodal Music Processing, pp. 95-120 
incollection DOI URL 
Dittmar, C., Abeßer, J., Grollmisch, S., Hasselhorn, J. and Lehmann, A. Automatic singing assessment of pupil performances 2012 Proceedings of the International Conference on Music Perception and Cognition and the 8th Triennial conference of the European Society for the Cognitive Sciences of Music (ICMPC-ESCOM), pp. 263-264  inproceedings  
Kramer, P., Abeßer, J., Dittmar, C. and Schuller, G. A Digital Waveguide Model of the Electric Bass Guitar Including Different Playing Techniques 2012 Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 353-356  inproceedings  
Krasser, J., Abeßer, J., Großmann, H., Dittmar, C. and Cano, E. Improved Music Similarity Computation based on Tone Objects 2012 Proceedings of the Audio Mostly Conference on Interaction with Sound  inproceedings  
Abeßer, J., Dittmar, C. and Schuller, G. Automatic Recognition and Parametrization of Frequency Modulation Techniques in Bass Guitar Recordings 2011 Proceedings of the Audio Engineering Society (AES) International Conference on Semantic Audio, pp. 1-8  inproceedings  
Abeßer, J., Lartillot, O., Dittmar, C., Eerola, T. and Schuller, G. Modeling Musical Attributes to Characterize Ensemble Recordings using Rhythmic Audio Features 2011 Proceedings of the IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 189-192nul  inproceedings  
Abeßer, J. and Lartillot, O. Modelling Musical Attributes to Characterize Two-Track Recordings with Bass and Drums 2011 Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), pp. 209-214  inproceedings  
Großmann, H., Kruspe, A., Abeßer, J. and Lukashevich, H. Towards Cross-Modal Search and Synchronization of Music and Video Streams 2011 Proceedings of the International Congress on Computer Science: Information Systems and Technology (CSIST)  inproceedings  
Kruspe, A., Lukashevich, H., Abeßer, J., Großmann, H. and Dittmar, C. Automatic classification of music pieces into global cultural areas 2011 Proceedings of the AES International Conference on Semantic Audio, pp. 44-53  inproceedings  
Kruspe, A., Lukashevich, H. and Abeßer, J. Artist Filtering for Non-western Music Classification 2011 Proceedings of the Audio Mostly Conference: A Conference on Interaction with Sound, pp. 82-87  inproceedings  
Abeßer, J., Lukashevich, H., Dittmar, C., Bräuer, P. and Krause, F. Rule-based classification of musical genres from a global cultural background 2010 Proceedings of the International Symposium on Computer Music Modeling and Retrieval (CMMR)  inproceedings  
Abeßer, J., Lukashevich, H. and Schuller, G. Feature-based Extraction of Plucking and Expression Styles of the Electric Bass Guitar 2010 Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2290-2293  inproceedings  
Abeßer, J., Bräuer, P., Lukashevich, H. and Schuller, G. Bass Playing Style Detection Based on High-level Features and Pattern Similarity 2010 Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), pp. 93-98  inproceedings  
Dittmar, C., Grollmisch, S., Lukashevich, H., Großmann, H., Cano, E. and Abeßer, J. Songs2See and GlobalMusic2One: Two Ongoing Projects in Music Information Retrieval Research at Fraunhofer IDMT 2010 Proceeding of the International Symposium on Computer Music Modeling and Retrieval (CMMR), pp. 259-272  inproceedings  
Stein, M., Abeßer, J., Dittmar, C. and Schuller, G. Automatic Detection of Audio Effects in Guitar and Bass Recordings 2010 Proceedings of the Audio Engineering Society (AES) Convention, pp. 522-533  inproceedings  
Völkel, T., Abeßer, J., Dittmar, C. and Großmann, H. Automatic Genre Classification of Latin American Music using Characteristic Rhythmic Patterns 2010 Proceedings of the 5th Audio Mostly Conference on Interaction with SoundProceedings of the Audio Mostly Conference on Interaction with Sound  inproceedings  
Abeßer, J., Lukashevich, H., Dittmar, C. and Schuller, G. Genre Classification using Bass-Related High-Level Features and Playing Styles 2009 Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), pp. 453-458  inproceedings  
Brandenburg, K., Dittmar, C., Gruhne, M., Abeßer, J., Lukashevich, H., Dunker, P., Gärtner, D., Wolter, K., Nowak, S. and Großmann, H. Music search and recommendation 2009 Handbook of multimedia for digital entertainment and arts, pp. 349-384  incollection  
Lukashevich, H., Abeßer, J., Dittmar, C. and Großmann, H. From Multi-Labeling to Multi-Domain-Labeling: A Novel Two-Dimensional Approach to Music Genre Classification 2009 Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), pp. 459-464  inproceedings  
Abeßer, J., Dittmar, C. and Großmann, H. Automatic Genre and Artist Classification by Analyzing Improvised Solo Parts from Musical Recordings 2008 Proceedings of the Audio Mostly Conference on Interaction with Sound, pp. 127-131  inproceedings  
Dittmar, C. and Abeßer, J. Automatic Music Transcription with User Interaction 2008 Proceedings of the Deutsche Jahrestagung für Akustik (DAGA)  inproceedings