Stereo Goes Mobile: Spatial Enhancement for Short-distance Loudspeaker Setups. - Konstantinos Drossos; Stylianos Ioannis Mimilakis; Andreas Floros 001; Nikolaos Kanellopoulos (IIH-MSP, 2012)

Acoustic Scene Classification by Combining Autoencoder-Based Dimensionality Reduction and Convolutional Neural Networks. - Jakob Abeßer; Stylianos Ioannis Mimilakis; Robert Gräfe; Hanna M. Lukashevich (DCASE, 2017)

A recurrent encoder-decoder approach with skip-filtering connections for monaural singing voice separation. - Stylianos Ioannis Mimilakis; Konstantinos Drossos; Tuomas Virtanen; Gerald Schuller (MLSP, 2017)

Investigating the Potential of Pseudo Quadrature Mirror Filter-Banks in Music Source Separation Tasks. - Stylianos Ioannis Mimilakis; Gerald Schuller (CoRR, 2017)

Examining the Perceptual Effect of Alternative Objective Functions for Deep Learning Based Music Source Separation. - Stylianos Ioannis Mimilakis; Estefanía Cano; Derry FitzGerald; Konstantinos Drossos; Gerald Schuller (ACSSC, 2018)

Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask. - Stylianos Ioannis Mimilakis; Konstantinos Drossos; João Felipe Santos; Gerald Schuller; Tuomas Virtanen; Yoshua Bengio (ICASSP, 2018)

MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation. - Konstantinos Drossos; Stylianos Ioannis Mimilakis; Dmitriy Serdyuk; Gerald Schuller; Tuomas Virtanen; Yoshua Bengio (IJCNN, 2018)

Reducing Interference with Phase Recovery in DNN-based Monaural Singing Voice Separation. - Paul Magron; Konstantinos Drossos; Stylianos Ioannis Mimilakis; Tuomas Virtanen (INTERSPEECH, 2018)

Harmonic-Percussive Source Separation with Deep Neural Networks and Phase Recovery. - Konstantinos Drossos; Paul Magron; Stylianos Ioannis Mimilakis; Tuomas Virtanen (IWAENC, 2018)

Close Miking Empirical Practice Verification: A Source Separation Approach. - Konstantinos Drossos; Stylianos Ioannis Mimilakis; Andreas Floros 001; Tuomas Virtanen; Gerald Schuller (CoRR, 2018)

An Overview of Lead and Accompaniment Separation in Music. - Zafar Rafii; Antoine Liutkus; Fabian-Robert Stöter; Stylianos Ioannis Mimilakis; Derry FitzGerald; Bryan Pardo (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Urban Noise Monitoring in the Stadtlärm Project - A Field Report. - Jakob Abeßer; Marco Götze; Tobias Clauß; Dominik Zapf; Christian Kühn 002; Hanna M. Lukashevich; Stephanie Kühnlenz; Stylianos I. Mimilakis (DCASE, 2019)

Investigating CNN-based Instrument Family Recognition for Western Classical Music Recordings. - Michael Taenzer; Jakob Abeßer; Stylianos I. Mimilakis; Christof Weiss; Meinard Müller (ISMIR, 2019)

Cross-version Singing Voice Detection in Opera Recordings: Challenges for Supervised Learning. - Stylianos I. Mimilakis; Christof Weiss; Vlora Arifi-Müller; Jakob Abeßer; Meinard Müller (PKDD/ECML Workshops (2), 2019)

Examining the Mapping Functions of Denoising Autoencoders in Music Source Separation. - Stylianos Ioannis Mimilakis; Konstantinos Drossos; Estefanía Cano; Gerald Schuller (CoRR, 2019)

SignalTrain: Profiling Audio Compressors with Deep Neural Networks. - Scott H. Hawley; Benjamin Colburn; Stylianos I. Mimilakis (CoRR, 2019)

Unsupervised Interpretable Representation Learning for Singing Voice Separation. - Stylianos I. Mimilakis; Konstantinos Drossos; Gerald Schuller (EUSIPCO, 2020)

One-Shot Parametric Audio Production Style Transfer with Application to Frequency Equalization. - Stylianos I. Mimilakis; Nicholas J. Bryan; Paris Smaragdis (ICASSP, 2020)

Sound Event Detection with Depthwise Separable and Dilated Convolutions. - Konstantinos Drossos; Stylianos I. Mimilakis; Shayan Gharib; Yanxiong Li; Tuomas Virtanen (IJCNN, 2020)

Depthwise Separable Convolutions Versus Recurrent Neural Networks for Monaural Singing Voice Separation. - Pyry Pyykkönen; Stylianos I. Mimilakis; Konstantinos Drossos; Tuomas Virtanen (MMSP, 2020)

Revisiting Representation Learning for Singing Voice Separation with Sinkhorn Distances. - Stylianos Ioannis Mimilakis; Konstantinos Drossos; Gerald Schuller (CoRR, 2020)

Conditioned Time-Dilated Convolutions for Sound Event Detection. - Konstantinos Drossos; Stylianos Ioannis Mimilakis; Tuomas Virtanen (CoRR, 2020)

Examining the Mapping Functions of Denoising Autoencoders in Singing Voice Separation. - Stylianos Ioannis Mimilakis; Konstantinos Drossos; Estefanía Cano; Gerald Schuller (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Deep Learning-Based Music Instrument Recognition: Exploring Learned Feature Representations. - Michael Taenzer; Stylianos I. Mimilakis; Jakob Abeßer (CMMR, 2021)

Exposure Bias and State Matching in Recurrent Neural Network Virtual Analog Models. - Aleksi Peussa; Eero-Pekka Damskägg; Thomas Sherson; Stylianos I. Mimilakis; Lauri Juvela; Athanasios Gotsopoulos; Vesa Välimäki (DAFx, 2021)

Predominant Jazz Instrument Recognition: Empirical Studies on Neural Network Architectures. - Jakob Abeßer; Jaydeep Chauhan; Prateek Pradeep Pillai; Michael Taenzer; Stylianos I. Mimilakis (EUSIPCO, 2021)

DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection. - David S. Johnson 003; Wolfgang Lorenz; Michael Taenzer; Stylianos I. Mimilakis; Sascha Grollmisch; Jakob Abeßer; Hanna M. Lukashevich (EUSIPCO, 2021)

End-to-End Amp Modeling: from Data to Controllable Guitar Amplifier Models. - Lauri Juvela; Eero-Pekka Damskägg; Aleksi Peussa; Jaakko Mäkinen; Thomas Sherson; Stylianos I. Mimilakis; Kimmo Rauhanen; Athanasios Gotsopoulos (ICASSP, 2023)

End-to-End Amp Modeling: From Data to Controllable Guitar Amplifier Models. - Lauri Juvela; Eero-Pekka Damskägg; Aleksi Peussa; Jaakko Mäkinen; Thomas Sherson; Stylianos I. Mimilakis; Athanasios Gotsopoulos (CoRR, 2024)