Hanna M. Lukashevich

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 15

Top Topics

Convolutional Neural Networks

Event Detection

Scene Classification

Inter Disciplinary

Top Venues

Audio Mostly Conference

Publications

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)
Sascha Grollmisch, Estefanía Cano, Hanna M. Lukashevich, Jakob Abeßer
Uncertainty in Semi-Supervised Audio Classification - A Novel Extension for FixMatch. EUSIPCO (2023)
Franca Bittner, Marcel Gonzalez, Maike L. Richter, Hanna M. Lukashevich, Jakob Abeßer
Multi-pitch Estimation meets Microphone Mismatch: Applicability of Domain Adaptation. ISMIR (2022)
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)
Patrick Aichroth, Christoph Antes, Pierre Gembatzka, Holger Graf, David S. Johnson, Matthias Jung, Thomas Kämpfe, Thomas Kleinberger, Thomas Köllmer, Thomas Kuhn, Christoph Kutter, Jens Krüger, Dominik Marek Loroch, Hanna M. Lukashevich, Nellie Laleni, Lei Zhang, Johannes Leugering, Rodrigo Martín Fernández, Loreto Mateu, Shaown Mojumder, Benjamin Prautsch, Ferdinand Pscheidl, Karsten Roscher, Sören Schneickert, Frank Vanselow, Paul Wallbott, Oliver Walter, Nico Weber
SEC-Learn: Sensor Edge Cloud for Federated Learning - Invited Paper. SAMOS (2021)
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 (2021)
Sebastian Ribecky, Jakob Abeßer, Hanna M. Lukashevich
Multi-input Architecture and Disentangled Representation Learning for Multi-dimensional Modeling of Music Similarity. CoRR (2021)
Alexandra Draghici, Jakob Abeßer, Hanna M. Lukashevich
A study on spoken language identification using deep neural networks. Audio Mostly Conference (2020)
Estefanía Cano, Hanna M. Lukashevich
Selective Hearing: A Machine Listening Perspective. MMSP (2019)
Sascha Grollmisch, Jakob Abeßer, Judith Liebetrau, Hanna M. Lukashevich
Sounding Industry: Challenges and Datasets for Industrial Sound Analysis. EUSIPCO (2019)
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)
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)
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)
Sascha Grollmisch, Hanna M. Lukashevich
Soundslike. GI-Jahrestagung (2017)
Anna M. Kruspe, Dominik Zapf, Hanna M. Lukashevich
Automatic speech/music discrimination for broadcast signals. GI-Jahrestagung (2017)
Christof Weiß, Estefanía Cano, Hanna M. Lukashevich
A Mid-Level Approach to Local Tonality Analysis: Extracting Key Signatures from Audio. Semantic Audio (2014)
Mikus Grasis, Jakob Abeßer, Christian Dittmar, Hanna M. Lukashevich
A Multiple-Expert Framework for Instrument Recognition. CMMR (2013)
Hanna M. Lukashevich
Confidence Measures in Automatic Music Classification. GfKl (2012)
Anna M. Kruspe, Hanna M. Lukashevich, Jakob Abeßer
Artist filtering for non-western music classification. Audio Mostly Conference (2011)
Anna M. Kruspe, Hanna M. Lukashevich, Jakob Abeßer, Holger Großmann, Christian Dittmar
Automatic Classification of Musical Pieces into Global Cultural Areas. Semantic Audio (2011)
Jakob Abeßer, Hanna M. Lukashevich, Gerald Schuller
Feature-based extraction of plucking and expression styles of the electric bass guitar. ICASSP (2010)
Hanna M. Lukashevich
Applying Multiple Kernel Learning to Automatic Genre Classification. GfKl (2010)
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)
Stefanie Nowak, Hanna M. Lukashevich, Peter Dunker, Stefan M. Rüger
Performance measures for multilabel evaluation: a case study in the area of image classification. Multimedia Information Retrieval (2010)
Pedro Mercado, Hanna M. Lukashevich
Feature Selection in Clustering with Constraints: Application to Active Exploration of Music Collections. ICMLA (2010)
Jakob Abeßer, Paul Bräuer, Hanna M. Lukashevich, Gerald Schuller
Bass Playing Style Detection Based on High-level Features and Pattern Similarity. ISMIR (2010)
Jakob Abeßer, Hanna M. Lukashevich, Christian Dittmar, Gerald Schuller
Genre Classification Using Bass-Related High-Level Features and Playing Styles. ISMIR (2009)
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)
Hanna M. Lukashevich, Stefanie Nowak, Peter Dunker
Using one-class SVM outliers detection for verification of collaboratively tagged image training sets. ICME (2009)
Hanna M. Lukashevich
Towards Quantitative Measures of Evaluating Song Segmentation. ISMIR (2008)
Hanna M. Lukashevich, Christian Dittmar, Christoph Bastuck
Applying Statistical Models and Parametric Distance Measures for Music Similarity Search. GfKl (2008)
Liming Chen, Evgeny I. Bovbel, Hanna M. Lukashevich, Denis L. Mitrofanov
Audio Documents Analysis And Indexing: Entropy and Dynamism Criteria. RIAO (2004)
Igor E. Kheidorov, Hanna M. Lukashevich, Denis L. Mitrofanov
Entropy and Dynamism Criteria for Speech and Audio Classification Applications. TSD (2003)