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Jakob Abeßer
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- affiliation: Fraunhofer Institute for Digital Media Technology (IDMT), Germany
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2020 – today
- 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
Visual and audio scene classification for detecting discrepancies in video: a baseline method and experimental protocol. MAD@ICMR 2024: 30-36 - [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) - 2023
- [j5]Jakob Abeßer
How Robust are Audio Embeddings for Polyphonic Sound Event Tagging? IEEE ACM Trans. Audio Speech Lang. Process. 31: 2658-2667 (2023) - [c48]Hanna M. Lukashevich
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
- [j4]Stefan Balke
JSD: A Dataset for Structure Analysis in Jazz Music. Trans. Int. Soc. Music. Inf. Retr. 5(1): 156-172 (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
Predominant Jazz Instrument Recognition: Empirical Studies on Neural Network Architectures. EUSIPCO 2021: 361-365 - [c42]Jakob Abeßer, Saichand Gourishetti
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 - [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) - 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
2010 – 2019
- 2019
- [c39]Matthias Nowakowski, Christof Weiß
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
Cross-version Singing Voice Detection in Opera Recordings: Challenges for Supervised Learning. PKDD/ECML Workshops (2) 2019: 429-436 - [i1]Jakob Abeßer, Sara Kepplinger:
Smart Solutions to Cope with Urban Noise Pollution. ERCIM News 2019(119) (2019) - 2018
- [j3]Stefan Balke
Bridging the Gap: Enriching YouTube Videos with Jazz Music Annotations. Frontiers Digit. Humanit. 5: 1 (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
- [j2]Jakob Abeßer
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
Instrument-Centered Music Transcription of Solo Bass Guitar Recordings. IEEE ACM Trans. Audio Speech Lang. Process. 25(9): 1741-1750 (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 - [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] - 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
- [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 - [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
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
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 - [p2]Christian Dittmar, Estefanía Cano, Jakob Abeßer, Sascha Grollmisch:
Music Information Retrieval Meets Music Education. Multimodal Music Processing 2012: 95-120 - 2011
- [c11]Anna M. Kruspe
Artist filtering for non-western music classification. Audio Mostly Conference 2011: 82-87 - [c10]Jakob Abeßer, Olivier Lartillot, Christian Dittmar, Tuomas Eerola
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
Songs2See and GlobalMusic2One: Two Applied Research Projects in Music Information Retrieval at Fraunhofer IDMT. CMMR 2010: 259-272 - [c4]Jakob Abeßer, Hanna M. Lukashevich
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
2000 – 2009
- 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 - [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
Coauthor Index
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last updated on 2024-11-07 20:34 CET by the dblp team
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