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 |
Aktuelle Forschungsschwerpunkte in der akustischen Ereignisdetektion
Abeßer, Jakob; Grollmisch, Sascha; Bös, Joachim |
Konferenzbeitrag Conference Paper
|
2024 |
Selbstüberwachtes Vortraining zur Verbesserung automatischer Audioklassifikationsalgorithmen
Grollmisch, Sascha; Abeßer, Jakob; 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
|
2024 |
Towards Domain Shift in Location-Mismatch Scenarios for Bird Activity Detection
Latifi Bidarouni, Amir; Abeßer, Jakob |
Konferenzbeitrag Conference Paper
|
2023 |
Investigations on the Implementation of an Acoustic Rain Sensor System
Hock, Kevin; Götz, Julian; Seideneck, Mario; Sladeczek, Christoph |
Konferenzbeitrag Conference Paper
|
2023 |
How Robust are Audio Embeddings for Polyphonic Sound Event Tagging?
Abeßer, Jakob; Grollmisch, Sascha; Müller, Meinard |
Zeitschriftenaufsatz Journal Article
|
2022 |
Classifying Sounds in Polyphonic Urban Sound Scenes
Abeßer, Jakob |
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 |
Construction-sAIt: Multi-modal AI-driven technologies for construction site monitoring
Abeßer, Jakob; Loos, Alexander; Sharma, Prachi |
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 |
Improving Semi-Supervised Learning for Audio Classification with FixMatch
Grollmisch, Sascha; Cano, Estefanía |
Zeitschriftenaufsatz Journal Article
|
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 |
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
|
2020 |
Sound Event Detection with Depthwise Separable and Dilated Convolutions
Drossos, Konstantinos; Mimilakis, Stylianos I.; Gharib, Shayan; Li, Yanxiong; Virtanen, Tuomas |
Paper
|
2020 |
A Review of Deep Learning Based Methods for Acoustic Scene Classification
Abeßer, Jakob |
Zeitschriftenaufsatz Journal Article
|
2020 |
Identifikation urbaner Geräuschquellen mittels maschineller Lernverfahren
Clauß, T.; Abeßer, Jakob |
Zeitschriftenaufsatz Journal Article
|
2020 |
Analyzing the potential of pre-trained embeddings for audio classification tasks
Grollmisch, Sascha; Kehling, Christian; Taenzer, Michael; Cano, E. |
Konferenzbeitrag Conference Paper
|
2019 |
Smart Solutions to Cope with Urban Noise Pollution
Abeßer, Jakob; Kepplinger, Sara |
Zeitschriftenaufsatz Journal Article
|
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
|