Volgen
Bernhard Lehner
Titel
Geciteerd door
Geciteerd door
Jaar
CP-JKU submissions for DCASE-2016: a hybrid approach using binaural i-vectors and deep convolutional neural networks
H Eghbal-Zadeh, B Lehner, M Dorfer, G Widmer
IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and …, 2016
2072016
On the reduction of false positives in singing voice detection
B Lehner, G Widmer, R Sonnleitner
2014 IEEE international conference on acoustics, speech and signal …, 2014
802014
Acoustic scene classification with fully convolutional neural networks and I-vectors
M Dorfer, B Lehner, H Eghbal-zadeh, H Christop, P Fabian, W Gerhard
Proceedings of the detection and classification of acoustic scenes and events, 2018
682018
A low-latency, real-time-capable singing voice detection method with LSTM recurrent neural networks
B Lehner, G Widmer, S Bock
2015 23rd European signal processing conference (EUSIPCO), 21-25, 2015
622015
I-Vectors for Timbre-Based Music Similarity and Music Artist Classification.
H Eghbal-Zadeh, B Lehner, M Schedl, G Widmer
ISMIR, 554-560, 2015
552015
An introduction to signal processing for singing-voice analysis: High notes in the effort to automate the understanding of vocals in music
EJ Humphrey, S Reddy, P Seetharaman, A Kumar, RM Bittner, ...
IEEE Signal Processing Magazine 36 (1), 82-94, 2018
522018
Towards Light-Weight, Real-Time-Capable Singing Voice Detection.
B Lehner, R Sonnleitner, G Widmer
ISMIR 2013, 1-6, 2013
422013
Online, loudness-invariant vocal detection in mixed music signals
B Lehner, J Schlüter, G Widmer
IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (8), 1369 …, 2018
402018
Zero-Mean Convolutions for Level-Invariant Singing Voice Detection.
J Schlüter, B Lehner
ISMIR, 321-326, 2018
392018
A hybrid approach with multi-channel i-vectors and convolutional neural networks for acoustic scene classification
H Eghbal-zadeh, B Lehner, M Dorfer, G Widmer
2017 25th European Signal Processing Conference (EUSIPCO), 2749-2753, 2017
342017
Classifying short acoustic scenes with I-vectors and CNNs: Challenges and optimisations for the 2017 DCASE ASC task
B Lehner, H Eghbal-Zadeh, M Dorfer, F Korzeniowski, K Koutini, ...
DCASE2017 Challenge, 2017
312017
Cross-Version Singing Voice Detection in Classical Opera Recordings.
C Dittmar, B Lehner, T Prätzlich, M Müller, G Widmer
ISMIR, 618-624, 2015
302015
Deep learning approaches for thermographic imaging
P Kovács, B Lehner, G Thummerer, G Mayr, P Burgholzer, M Huemer
Journal of Applied Physics 128 (15), 2020
282020
Acoustic scene classification with reject option based on resnets
B Lehner, K Koutini, C Schwarzlmüller, T Gallien, G Widmer
Proceedings of the Detection and Classification of Acoustic Scenes and …, 2019
182019
Monaural Blind Source Separation in the Context of Vocal Detection.
B Lehner, G Widmer
ISMIR, 309-315, 2015
152015
Improving voice activity detection in movies
B Lehner, G Widmer, R Sonnleitner
Sixteenth Annual Conference of the International Speech Communication …, 2015
142015
A hybrid approach for thermographic imaging with deep learning
P Kovács, B Lehner, G Thummerer, G Mayr, P Burgholzer, M Huemer
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
72020
Energy-based hopfield boosting for out-of-distribution detection
C Hofmann, S Schmid, B Lehner, D Klotz, S Hochreiter
arXiv preprint arXiv:2405.08766, 2024
22024
Surfing Virtual Waves to Thermal Tomography: From model-to deep learning-based reconstructions
P Kovács, B Lehner, G Thummerer, G Mayr, P Burgholzer, M Huemer
IEEE Signal Processing Magazine 39 (1), 55-67, 2021
22021
Uncertainty estimation for non-destructive detection of material defects with u-nets
B Lehner, T Gallien
Proceedings of the 2nd Int. Conf. on Advances in Signal Processing and AI …, 2020
22020
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20