Hamid Eghbal-zadeh
Hamid Eghbal-zadeh
Institute of Computational Perception & LIT AI Lab, Johannes Kepler University
Bestätigte E-Mail-Adresse bei jku.at - Startseite
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Zitiert von
Jahr
CP-JKU Submissions for DCASE-2016: a Hybrid Approach Using Binaural I-Vectors and Deep Convolutional Neural Networks for Acoustic Scene Classification
H Eghbal-zadeh, B Lehner, M Dorfer, G Widmer
IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and …, 2016
1712016
Large-scale weakly labeled semi-supervised sound event detection in domestic environments
R Serizel, N Turpault, H Eghbal-Zadeh, AP Shah
Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE), 2018
982018
Acoustic scene classification with fully convolutional neural networks and I-vectors
M Dorfer, B Lehner, H Eghbal-zadeh, H Christop, P Fabian, W Gerhard
DCASE2018 Challenge, 2018
472018
The receptive field as a regularizer in deep convolutional neural networks for acoustic scene classification
K Koutini, H Eghbal-Zadeh, M Dorfer, G Widmer
2019 27th European signal processing conference (EUSIPCO), 1-5, 2019
432019
Movie genome: alleviating new item cold start in movie recommendation
Y Deldjoo, MF Dacrema, MG Constantin, H Eghbal-Zadeh, S Cereda, ...
User Modeling and User-Adapted Interaction 29 (2), 291-343, 2019
432019
I-VECTORS FOR TIMBRE-BASED MUSIC SIMILARITY AND MUSIC ARTIST CLASSIFICATION
H Eghbal-zadeh, B Lehner, M Schedl, G Widmer
International Society of Music Information Retrieval Conference (ISMIR), 2015
402015
Audio-visual encoding of multimedia content for enhancing movie recommendations
Y Deldjoo, MG Constantin, H Eghbal-Zadeh, B Ionescu, M Schedl, ...
Proceedings of the 12th ACM Conference on Recommender Systems, 455-459, 2018
372018
Acoustic Scene Classification and Audio Tagging with Receptive-Field-Regularized CNNs
K Koutini, H Eghbal-zadeh, G Widmer
Proceedings of the Detection and Classification of Acoustic Scenes and …, 2019
312019
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
272017
Feature-combination hybrid recommender systems for automated music playlist continuation
A Vall, M Dorfer, H Eghbal-Zadeh, M Schedl, K Burjorjee, G Widmer
User Modeling and User-Adapted Interaction 29 (2), 527-572, 2019
242019
Timbral modeling for music artist recognition using i-vectors
H Eghbal-zadeh, M Schedl, G Widmer
European Signal Processing Conference (EUSIPCO), 2015
242015
Music playlist continuation by learning from hand-curated examples and song features: Alleviating the cold-start problem for rare and out-of-set songs
A Vall, H Eghbal-Zadeh, M Dorfer, M Schedl, G Widmer
Proceedings of the 2nd workshop on deep learning for recommender systems, 46-54, 2017
232017
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
222017
Receptive-field-regularized CNN variants for acoustic scene classification
K Koutini, H Eghbal-zadeh, G Widmer
arXiv preprint arXiv:1909.02859, 2019
192019
Mixture Density Generative Adversarial Networks
H Eghbal-zadeh, W Zellinger, G Widmer
IEEE Conference on Computer Vision and Pattern Recognition, 2019
192019
On the interrelation between listener characteristics and the perception of emotions in classical orchestra music
M Schedl, E Gómez, ES Trent, M Tkalčič, H Eghbal-Zadeh, A Martorell
IEEE Transactions on Affective Computing 9 (4), 507-525, 2017
182017
CP-JKU submissions to DCASE’20: Low-complexity cross-device acoustic scene classification with rf-regularized CNNs
K Koutini, F Henkel, H Eghbal-zadeh, G Widmer
Tech. Rep., DCASE2020 Challenge, 2020
152020
Emotion and theme recognition in music with Frequency-Aware RF-Regularized CNNs
K Koutini, S Chowdhury, V Haunschmid, H Eghbal-Zadeh, G Widmer
arXiv preprint arXiv:1911.05833, 2019
152019
Iterative knowledge distillation in R-CNNs for weakly-labeled semisupervised sound event detection
K Koutini, H Eghbal-zadeh, G Widmer
Proceedings of the Detection and Classification of Acoustic Scenes and …, 2018
132018
Exploiting parallel audio recordings to enforce device invariance in cnn-based acoustic scene classification
P Primus, H Eghbal-zadeh, D Eitelsebner, K Koutini, A Arzt, G Widmer
arXiv preprint arXiv:1909.02869, 2019
92019
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