Stylianos I. Mimilakis

Orcid: 0000-0003-4633-5538

According to our database1, Stylianos I. Mimilakis authored at least 29 papers between 2012 and 2024.

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Bibliography

2024
End-to-End Amp Modeling: From Data to Controllable Guitar Amplifier Models.
CoRR, 2024

2023
End-to-End Amp Modeling: from Data to Controllable Guitar Amplifier Models.
Proceedings of the IEEE International Conference on Acoustics, 2023

2021
DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection.
Proceedings of the 29th European Signal Processing Conference, 2021

Predominant Jazz Instrument Recognition: Empirical Studies on Neural Network Architectures.
Proceedings of the 29th European Signal Processing Conference, 2021

Exposure Bias and State Matching in Recurrent Neural Network Virtual Analog Models.
Proceedings of the 24th International Conference on Digital Audio Effects, 2021

Deep Learning-Based Music Instrument Recognition: Exploring Learned Feature Representations.
Proceedings of the Music in the AI Era - 15th International Symposium, 2021

2020
Examining the Mapping Functions of Denoising Autoencoders in Singing Voice Separation.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Conditioned Time-Dilated Convolutions for Sound Event Detection.
CoRR, 2020

Revisiting Representation Learning for Singing Voice Separation with Sinkhorn Distances.
CoRR, 2020

Depthwise Separable Convolutions Versus Recurrent Neural Networks for Monaural Singing Voice Separation.
Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020

Sound Event Detection with Depthwise Separable and Dilated Convolutions.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

One-Shot Parametric Audio Production Style Transfer with Application to Frequency Equalization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Unsupervised Interpretable Representation Learning for Singing Voice Separation.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
SignalTrain: Profiling Audio Compressors with Deep Neural Networks.
CoRR, 2019

Examining the Mapping Functions of Denoising Autoencoders in Music Source Separation.
CoRR, 2019

Cross-version Singing Voice Detection in Opera Recordings: Challenges for Supervised Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Investigating CNN-based Instrument Family Recognition for Western Classical Music Recordings.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

Urban Noise Monitoring in the Stadtlärm Project - A Field Report.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

2018
An Overview of Lead and Accompaniment Separation in Music.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Close Miking Empirical Practice Verification: A Source Separation Approach.
CoRR, 2018

Harmonic-Percussive Source Separation with Deep Neural Networks and Phase Recovery.
Proceedings of the 16th International Workshop on Acoustic Signal Enhancement, 2018

Reducing Interference with Phase Recovery in DNN-based Monaural Singing Voice Separation.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Examining the Perceptual Effect of Alternative Objective Functions for Deep Learning Based Music Source Separation.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Investigating the Potential of Pseudo Quadrature Mirror Filter-Banks in Music Source Separation Tasks.
CoRR, 2017

A recurrent encoder-decoder approach with skip-filtering connections for monaural singing voice separation.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Acoustic Scene Classification by Combining Autoencoder-Based Dimensionality Reduction and Convolutional Neural Networks.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017

2012
Stereo Goes Mobile: Spatial Enhancement for Short-distance Loudspeaker Setups.
Proceedings of the Eighth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2012


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