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ORCIDStylianos I. Mimilakis
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2020 – today
- 2024
[i16]Lauri Juvela, Eero-Pekka Damskägg, Aleksi Peussa, Jaakko Mäkinen, Thomas Sherson, Stylianos I. Mimilakis, Athanasios Gotsopoulos:
End-to-End Amp Modeling: From Data to Controllable Guitar Amplifier Models. CoRR abs/2403.08559 (2024)- 2023
- [c20]Lauri Juvela, Eero-Pekka Damskägg, Aleksi Peussa, Jaakko Mäkinen, Thomas Sherson, Stylianos I. Mimilakis, Kimmo Rauhanen, Athanasios Gotsopoulos:
End-to-End Amp Modeling: from Data to Controllable Guitar Amplifier Models. ICASSP 2023: 1-5 - 2021
- [c19]Michael Taenzer, Stylianos I. Mimilakis, Jakob Abeßer:
Deep Learning-Based Music Instrument Recognition: Exploring Learned Feature Representations. CMMR 2021: 32-46 - [c18]Aleksi Peussa, Eero-Pekka Damskägg, Thomas Sherson, Stylianos I. Mimilakis, Lauri Juvela, Athanasios Gotsopoulos, Vesa Välimäki:
Exposure Bias and State Matching in Recurrent Neural Network Virtual Analog Models. DAFx 2021: 284-291 - [c17]Jakob Abeßer, Jaydeep Chauhan
, Prateek Pradeep Pillai, Michael Taenzer, Stylianos I. Mimilakis:
Predominant Jazz Instrument Recognition: Empirical Studies on Neural Network Architectures. EUSIPCO 2021: 361-365 - [c16]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: 556-560 - [i15]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 abs/2102.08833 (2021) - 2020
- [j2]Stylianos Ioannis Mimilakis, Konstantinos Drossos, Estefanía Cano, Gerald Schuller:
Examining the Mapping Functions of Denoising Autoencoders in Singing Voice Separation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 266-278 (2020) - [c15]Stylianos I. Mimilakis, Konstantinos Drossos, Gerald Schuller:
Unsupervised Interpretable Representation Learning for Singing Voice Separation. EUSIPCO 2020: 1412-1416 - [c14]Stylianos I. Mimilakis, Nicholas J. Bryan, Paris Smaragdis:
One-Shot Parametric Audio Production Style Transfer with Application to Frequency Equalization. ICASSP 2020: 256-260 - [c13]Konstantinos Drossos, Stylianos I. Mimilakis, Shayan Gharib, Yanxiong Li, Tuomas Virtanen:
Sound Event Detection with Depthwise Separable and Dilated Convolutions. IJCNN 2020: 1-7 - [c12]Pyry Pyykkönen, Stylianos I. Mimilakis, Konstantinos Drossos, Tuomas Virtanen:
Depthwise Separable Convolutions Versus Recurrent Neural Networks for Monaural Singing Voice Separation. MMSP 2020: 1-6 - [i14]Konstantinos Drossos, Stylianos Ioannis Mimilakis, Shayan Gharib, Yanxiong Li, Tuomas Virtanen:
Sound Event Detection with Depthwise Separable and Dilated Convolutions. CoRR abs/2002.00476 (2020) - [i13]Stylianos Ioannis Mimilakis, Konstantinos Drossos, Gerald Schuller:
Unsupervised Interpretable Representation Learning for Singing Voice Separation. CoRR abs/2003.01567 (2020) - [i12]Pyry Pyykkönen, Stylianos Ioannis Mimilakis, Konstantinos Drossos, Tuomas Virtanen:
Depthwise Separable Convolutions Versus Recurrent Neural Networks for Monaural Singing Voice Separation. CoRR abs/2007.02683 (2020) - [i11]Stylianos Ioannis Mimilakis, Konstantinos Drossos, Gerald Schuller:
Revisiting Representation Learning for Singing Voice Separation with Sinkhorn Distances. CoRR abs/2007.02780 (2020) - [i10]Konstantinos Drossos, Stylianos Ioannis Mimilakis, Tuomas Virtanen:
Conditioned Time-Dilated Convolutions for Sound Event Detection. CoRR abs/2007.05183 (2020)
2010 – 2019
- 2019
- [c11]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: 1-4 - [c10]Michael Taenzer, Jakob Abeßer, Stylianos I. Mimilakis, Christof Weiss, Meinard Müller:
Investigating CNN-based Instrument Family Recognition for Western Classical Music Recordings. ISMIR 2019: 612-619 - [c9]Stylianos I. Mimilakis, Christof Weiss, Vlora Arifi-Müller, Jakob Abeßer, Meinard Müller:
Cross-version Singing Voice Detection in Opera Recordings: Challenges for Supervised Learning. PKDD/ECML Workshops (2) 2019: 429-436 - [i9]Stylianos Ioannis Mimilakis, Konstantinos Drossos, Estefanía Cano, Gerald Schuller:
Examining the Mapping Functions of Denoising Autoencoders in Music Source Separation. CoRR abs/1904.06157 (2019) - [i8]Scott H. Hawley, Benjamin Colburn, Stylianos I. Mimilakis:
SignalTrain: Profiling Audio Compressors with Deep Neural Networks. CoRR abs/1905.11928 (2019) - 2018
- [j1]Zafar Rafii, Antoine Liutkus, Fabian-Robert Stöter, Stylianos Ioannis Mimilakis, Derry FitzGerald, Bryan Pardo:
An Overview of Lead and Accompaniment Separation in Music. IEEE ACM Trans. Audio Speech Lang. Process. 26(8): 1307-1335 (2018) - [c8]Stylianos Ioannis Mimilakis, Estefanía Cano, Derry FitzGerald, Konstantinos Drossos, Gerald Schuller:
Examining the Perceptual Effect of Alternative Objective Functions for Deep Learning Based Music Source Separation. ACSSC 2018: 679-683 - [c7]Stylianos Ioannis Mimilakis, Konstantinos Drossos, João Felipe Santos, Gerald Schuller, Tuomas Virtanen, Yoshua Bengio:
Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask. ICASSP 2018: 721-725 - [c6]Konstantinos Drossos, Stylianos Ioannis Mimilakis, Dmitriy Serdyuk, Gerald Schuller, Tuomas Virtanen, Yoshua Bengio:
MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation. IJCNN 2018: 1-8 - [c5]Paul Magron, Konstantinos Drossos, Stylianos Ioannis Mimilakis, Tuomas Virtanen:
Reducing Interference with Phase Recovery in DNN-based Monaural Singing Voice Separation. INTERSPEECH 2018: 332-336 - [c4]Konstantinos Drossos, Paul Magron, Stylianos Ioannis Mimilakis, Tuomas Virtanen:
Harmonic-Percussive Source Separation with Deep Neural Networks and Phase Recovery. IWAENC 2018: 421-425 - [i7]Konstantinos Drossos, Stylianos Ioannis Mimilakis, Dmitriy Serdyuk, Gerald Schuller, Tuomas Virtanen, Yoshua Bengio:
MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation. CoRR abs/1802.00300 (2018) - [i6]Konstantinos Drossos, Stylianos Ioannis Mimilakis, Andreas Floros, Tuomas Virtanen, Gerald Schuller:
Close Miking Empirical Practice Verification: A Source Separation Approach. CoRR abs/1802.05132 (2018) - [i5]Zafar Rafii, Antoine Liutkus, Fabian-Robert Stöter, Stylianos Ioannis Mimilakis, Derry FitzGerald, Bryan Pardo:
An Overview of Lead and Accompaniment Separation in Music. CoRR abs/1804.08300 (2018) - [i4]Konstantinos Drossos, Paul Magron, Stylianos Ioannis Mimilakis, Tuomas Virtanen:
Harmonic-Percussive Source Separation with Deep Neural Networks and Phase Recovery. CoRR abs/1807.11298 (2018) - 2017
- [c3]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: 7-11 - [c2]Stylianos Ioannis Mimilakis, Konstantinos Drossos, Tuomas Virtanen, Gerald Schuller:
A recurrent encoder-decoder approach with skip-filtering connections for monaural singing voice separation. MLSP 2017: 1-6 - [i3]Stylianos Ioannis Mimilakis, Gerald Schuller:
Investigating the Potential of Pseudo Quadrature Mirror Filter-Banks in Music Source Separation Tasks. CoRR abs/1706.04924 (2017) - [i2]Stylianos Ioannis Mimilakis, Konstantinos Drossos, Tuomas Virtanen, Gerald Schuller:
A Recurrent Encoder-Decoder Approach with Skip-filtering Connections for Monaural Singing Voice Separation. CoRR abs/1709.00611 (2017) - [i1]Stylianos Ioannis Mimilakis, Konstantinos Drossos, João Felipe Santos, Gerald Schuller, Tuomas Virtanen, Yoshua Bengio:
Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask. CoRR abs/1711.01437 (2017) - 2012
- [c1]Konstantinos Drossos, Stylianos Ioannis Mimilakis, Andreas Floros, Nikolaos Kanellopoulos:
Stereo Goes Mobile: Spatial Enhancement for Short-distance Loudspeaker Setups. IIH-MSP 2012: 432-435
Coauthor Index
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