Jakob Abeßer - Fraunhofer IDMT

Jahr Year	Titel/Autor:in Title/Author	Publikationstyp Publication Type
2024	Towards Measuring and Forecasting Noise Exposure at the VELTINS-Arena in Gelsenkirchen, Germany Ngamthipwatthana, Pitchapa; Götze, Marco; Kátai, András; Abeßer, Jakob	Konferenzbeitrag Conference Paper
2024	Selbstüberwachtes Vortraining zur Verbesserung automatischer Audioklassifikationsalgorithmen Grollmisch, Sascha; Abeßer, Jakob; Bös, Joachim	Konferenzbeitrag Conference Paper
2024	Aktuelle Forschungsschwerpunkte in der akustischen Ereignisdetektion Abeßer, Jakob; Grollmisch, Sascha; Bös, Joachim	Konferenzbeitrag Conference Paper
2024	Visual and audio scene classification for detecting discrepancies in video: a baseline method and experimental protocol Apostolidis, Konstantinos; Abeßer, Jakob; Cuccovillo, Luca; Vasileios, Mezaris	Konferenzbeitrag Conference Paper
2023	An Introduction to Unsupervised Domain Adaptation in Sound and Music Processing Bittner, Franca; Abeßer, Jakob	Konferenzbeitrag Conference Paper
2023	Quantifying Uncertainty in Music Genre Classification Lukashevich, Hanna; Grollmisch, Sascha; Abeßer, Jakob	Konferenzbeitrag Conference Paper
2023	Uncertainty in Semi-Supervised Audio Classification - A Novel Extension for FixMatch Grollmisch, Sascha; Cano, Estefanía; Lukashevich, Hanna; Abeßer, Jakob	Konferenzbeitrag Conference Paper
2023	Unsupervised Feature-Space Domain Adaptation applied for Audio Classification Latifi Bidarouni, Amir; Abeßer, Jakob	Konferenzbeitrag Conference Paper
2023	How Robust are Audio Embeddings for Polyphonic Sound Event Tagging? Abeßer, Jakob; Grollmisch, Sascha; Müller, Meinard	Zeitschriftenaufsatz Journal Article
2023	How reliable are posterior class probabilities in automatic music classification? Lukashevich, Hanna; Grollmisch, Sascha; Abeßer, Jakob; Stober, Sebastian; Bös, Joachim	Konferenzbeitrag Conference Paper
2023	Deep Learning-Based Music Instrument Recognition: Exploring Learned Feature Representations Taenzer, Michael; Mimilakis, Stylianos Ioannis; Abeßer, Jakob	Konferenzbeitrag Conference Paper
2023	Human and Machine Performance in Counting Sound Classes in Single-Channel Soundscapes Abeßer, Jakob; Ullah, Asad; Ziegler, Sebastian; Grollmisch, Sascha	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	Multi-pitch Estimation meets Microphone Mismatch: Applicability of Domain Adaptation Bittner, Franca; Gonzalez Rodriguez, Marcel; Richter, Maike; Lukashevich, Hanna; Abeßer, Jakob	Konferenzbeitrag Conference Paper
2022	JSD: A Dataset for Structure Analysis in Jazz Music Balke, Stefan; Reck, Julian; Weiß, Christof; Abeßer, Jakob; Müller, Meinard	Zeitschriftenaufsatz Journal Article
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	Construction-sAIt: Multi-modal AI-driven technologies for construction site monitoring Abeßer, Jakob; Loos, Alexander; Sharma, Prachi	Konferenzbeitrag Conference Paper
2022	Potentials and Challenges of AI-based Audio Analysis in Industrial Sound Analysis Gourishetti, Saichand; Grollmisch, Sascha; Abeßer, Jakob; Liebetrau, Judith	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	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	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	Predominant Jazz Instrument Recognition. Empirical Studies on Neural Network Architectures Mimilakis, Stylianos I.; Abeßer, Jakob; Chauhan, Jaydeep; Pillai, Prateek Pradeep; Taenzer, Michael	Konferenzbeitrag Conference Paper
2021	Verfahren und Vorrichtung zur Erkennung von akustischen Anomalien Abeßer, Jakob	Patent
2021	Deep Learning-Based Music Instrument Recognition. Exploring Learned Feature Representations Taenzer, Michael; Abeßer, Jakob; Mimilakis, Stylianos I.	Konferenzbeitrag Conference Paper
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	DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection Johnson, David S.; Lorenz, Wolfgang; Taenzer, Michael; Grollmisch, Sascha; Abeßer, Jakob; Lukashevich, Hanna; Mimilakis, Stylianos	Paper
2021	A Novel Dataset for Time-Dependent Harmonic Similarity between Chord Sequences Bittner, Franca; Abeßer, Jakob; Nadar, Christon-Ragavan; Lukashevich, Hanna; Kramer, Patrick	Vortrag Presentation
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 Abeßer, J.; Nowakowski, M.; Weiß, C.	Konferenzbeitrag Conference Paper
2020	A Study on Spoken Language Identification Using Deep Neural Networks Draghici, Alexandra; Abeßer, Jakob; Lukashevich, Hanna	Konferenzbeitrag Conference Paper
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
2020	Identifikation urbaner Geräuschquellen mittels maschineller Lernverfahren Clauß, T.; Abeßer, Jakob	Zeitschriftenaufsatz Journal Article
2020	A Review of Deep Learning Based Methods for Acoustic Scene Classification Abeßer, Jakob	Zeitschriftenaufsatz Journal Article
2020	IAEO3 - Combining OpenL3 Embeddings and Interpolation Autoencoder for Anomalous Sound Detection Grollmisch, Sascha; Johnson, David; Abeßer, Jakob; Lukashevich, Hanna	Vortrag Presentation
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 Mimilakis, Stylianos I.; Taenzer, Michael; Abeßer, Jakob; 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
2019	Fundamental Frequency Contour Classification: A Comparison Between Hand-Crafted and CNN-Based Features Abeßer, Jakob; Müller, Meinard	Konferenzbeitrag Conference Paper
2018	Music Technology and Education Cano, E.; Dittmar, C.; Abeßer, J.; Kehling, C.; Grollmisch, S.	Aufsatz in Buch Book Article
2018	Improving Bass Saliency Estimation using Label Propagation and Transfer Learning Abeßer, Jakob; Balke, Stefan; Müller, Meinard	Konferenzbeitrag Conference Paper
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	Computational Corpus Analysis: A Case Study on Jazz Solos Weiß, Christof; Balke, Stefan; Abeßer, Jakob; Müller, Meinard	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
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
2017	Acoustic scene classification by combining autoencoder-based dimensionality reduction and convolutional neural networks Abeßer, Jakob; Gräfe, Robert; Lukashevich, Hanna; Mimilakis, Stylianos-Ioannis	Konferenzbeitrag Conference Paper
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	Instrument-centered music transcription of solo bass guitar recordings Abeßer, Jakob; Schuller, Gerald	Zeitschriftenaufsatz Journal Article
2017	Data-driven solo voice enhancement for jazz music retrieval Balke, Stefan; Dittmar, Christian; Abeßer, Jakob; Müller, Meinard	Konferenzbeitrag Conference Paper
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	Automatic best take detection for electric guitar and vocal studio recordings Bönsel, Carsten; Abeßer, Jakob; Grollmisch, Sascha; Mimilakis, Stylianos-Ioannis	Konferenzbeitrag Conference Paper
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	Towards evaluating multiple predominant melody annotations in jazz recordings Balke, Stefan; Driedger, Jonathan; Abeßer, Jakob; Dittmar, Christian; Müller, Meinard	Konferenzbeitrag Conference Paper
2016	New sonorities for jazz recordings: Separation and mixing using deep neural networks Cano, Estefanía; Abeßer, Jakob; Schuller, Gerald; Mimilakis, Stylianos-Ioannis	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	Parameter extraction for bass guitar sound models including playing styles Schuller, Gerald; Abeßer, Jakob; Kehling, Christian	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	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	Automatic competency assessment of rhythm performances of ninth-grade and tenth-grade pupils Abeßer, J.; Dittmar, C.; Grollmisch, S.; Hasselhorn, J.; Lehmann, A.	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	Instrument-centered music transcription of bass guitar tracks Abeßer, J.; Schuller, G.	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	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	A GMM Approach to Singing Language Identification Kruspe, Anna M.; Abeßer, Jakob; Dittmar, Christian	Konferenzbeitrag Conference Paper
2014	A multiple-expert framework for instrument recognition Abeßer, J.; Dittmar, C.; Lukashevich, H.; Grasis, M.	Konferenzbeitrag Conference Paper
2013	Real-time guitar string detection for music education software Dittmar, Christian; Männchen, Andreas; Abeßer, Jakob	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	Automatic string detection for bass guitar and electric guitar Abeßer, J.	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	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	A multiple-expert framework for instrument recognition Grasis, Mikus; Abeßer, Jakob; Dittmar, Christian; Lukashevich, Hanna	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	Music information retrieval meets music education Dittmar, Christian; Cano, Estefanía; Abeßer, Jakob; Grollmisch, Sascha	Aufsatz in Buch Book Article
2012	Improved music similarity computation based on tone objects Krasser, Johannes; Abeßer, Jakob; Cano, E.; Dittmar, C.; Großmann, H.	Konferenzbeitrag Conference Paper
2012	Classification of music genres based on repetitive basslines Abeßer, Jakob; Lukashevich, Hanna; Bräuer, Paul	Zeitschriftenaufsatz Journal Article
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	Automatic singing assessment of pupil performances Dittmar, Christian; Abeßer, Jakob; Grollmisch, Sascha; Hasselhorn, Johannes; Lehmann, Andreas	Konferenzbeitrag Conference Paper
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
2012	Towards cross-modal search and synchronization of music and video streams Großmann, Holger; Kruspe, Anna; Abeßer, Jakob; Lukashevich, Hanna	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	Automatic classification of musical pieces into global cultural areas Kruspe, Anna; Lukashevich, Hanna; Abeßer, Jakob; Großmann, Holger; Dittmar, Christian	Konferenzbeitrag Conference Paper
2011	Modelling musical attributes to characterize two-track recordings with bass and drums Abeßer, Jakob; Lartillot, Oliver	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	Modeling musical attributes to characterize ensemble recordings using rhythmic audio features Abeßer, Jakob; Lartillot, Oliver; Dittmar, Christian; Eerola, Tuomas; Schuller, Gerald	Konferenzbeitrag Conference Paper
2011	Artist filtering for non-western music classification Kruspe, Anna; Lukashevich, Hanna; Abeßer, Jakob	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	Bass Playing Style Detection based on High-Level Features and Pattern Similarity Abeßer, Jakob; Bräuer, Paul; Lukashevich, Hanna; Schuller, Gerald	Konferenzbeitrag Conference Paper
2010	Automatic Recognition of Tonal Instruments in Polyphonic Music from different Cultural Backgrounds Abeßer, J.; Kahl, M.; Dittmar, C.; Großmann, H.	Konferenzbeitrag Conference Paper
2010	Drumloop Separation using adaptive Spectrogram Templates Abeßer, J.; Gärtner, D.; Dittmar, C.	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
2010	Automatic Detection of Audio Effects in Guitar and Bass Recordings Abeßer, J.; Stein, M.; Dittmar, C.; Schuller, G.	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

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Dr.-Ing. Jakob Abeßer

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Dr.-Ing. Jakob Abeßer