Hanna Lukashevich
Hanna Lukashevich
Fraunhofer Institute for Digital Media Technology
Verified email at - Homepage
Cited by
Cited by
Assessing the performance of a semi‐automated acoustic monitoring system for primates
S Heinicke, AK Kalan, OJJ Wagner, R Mundry, H Lukashevich, HS Kühl
Methods in Ecology and Evolution 6 (7), 753-763, 2015
Towards Quantitative Measures of Evaluating Song Segmentation.
HM Lukashevich
ISMIR, 375-380, 2008
Feature-based extraction of plucking and expression styles of the electric bass guitar
J Abeßer, H Lukashevich, G Schuller
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
Using one-class SVM outliers detection for verification of collaboratively tagged image training sets
H Lukashevich, S Nowak, P Dunker
2009 IEEE International Conference on Multimedia and Expo, 682-685, 2009
Performance measures for multilabel evaluation: a case study in the area of image classification
S Nowak, H Lukashevich, P Dunker, S Rüger
Proceedings of the international conference on Multimedia information …, 2010
Sounding industry: Challenges and datasets for industrial sound analysis
S Grollmisch, J Abeßer, J Liebetrau, H Lukashevich
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
Effective singing voice detection in popular music using arma filtering
H Lukashevich, M Gruhne, C Dittmar
Workshop on Digital Audio Effects (DAFx’07), 2007
Acoustic Scene Classification by Combining Autoencoder-Based Dimensionality Reduction and Convolutional Neural Networks.
J Abeßer, SI Mimilakis, R Gräfe, HM Lukashevich, I Fraunhofer
DCASE, 7-11, 2017
From Multi-Labeling to Multi-Domain-Labeling: A Novel Two-Dimensional Approach to Music Genre Classification.
HM Lukashevich, J Abeßer, C Dittmar, H Grossmann
ISMIR, 459-464, 2009
A distributed sensor network for monitoring noise level and noise sources in urban environments
J AbeBer, M Gotze, S Kuhnlenz, R Grafe, C Kuhn, T ClauB, ...
2018 IEEE 6th International Conference on Future Internet of Things and …, 2018
A study on spoken language identification using deep neural networks
A Draghici, J Abeßer, H Lukashevich
Proceedings of the 15th International Conference on Audio Mostly, 253-256, 2020
Multilabel classification evaluation using ontology information
S Nowak, H Lukashevich
Proceedings of ESWC Workshop on Inductive Reasoning and Machine Learning on …, 2009
Automatic classification of musical pieces into global cultural areas
A Kruspe, H Lukashevich, J Abeßer, H Großmann, C Dittmar
Audio Engineering Society Conference: 42nd International Conference …, 2011
Investigating CNN-based Instrument Family Recognition for Western Classical Music Recordings.
M Taenzer, J Abeßer, SI Mimilakis, C Weiß, M Müller, H Lukashevich, ...
ISMIR, 612-619, 2019
Classification of music genres based on repetitive basslines
J Abeßer, H Lukashevich, P Bräuer
Journal of New Music Research 41 (3), 239-257, 2012
Genre Classification Using Bass-Related High-Level Features and Playing Styles.
J Abeßer, HM Lukashevich, C Dittmar, G Schuller
ISMIR, 453-458, 2009
Music search and recommendation
K Brandenburg, C Dittmar, M Gruhne, J Abeßer, H Lukashevich, P Dunker, ...
Handbook of multimedia for digital entertainment and arts, 349-384, 2009
Desed-fl and urban-fl: Federated learning datasets for sound event detection
DS Johnson, W Lorenz, M Taenzer, S Mimilakis, S Grollmisch, J Abeßer, ...
2021 29th European Signal Processing Conference (EUSIPCO), 556-560, 2021
Plausible augmentation of auditory scenes using dynamic binaural synthesis for personalized auditory realities
K Brandenburg, E Cano, F Klein, T Köllmer, H Lukashevich, A Neidhardt, ...
Audio Engineering Society Conference: 2018 AES International Conference on …, 2018
System and method for assisting selective hearing
T Sporer, G Fischer, H Lukashevich, F Klein, S Werner, A Neidhardt, ...
US Patent App. 17/665,379, 2022
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