Konstantinos Drossos

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 76

Top Topics

Source Separation

Scene Classification

Music Emotion Recognition

Top Venues

Publications

Shayan Gharib, Minh Tran, Diep Luong, Konstantinos Drossos, Tuomas Virtanen
Adversarial Representation Learning for Robust Privacy Preservation in Audio. CoRR (2023)
Diep Luong, Minh Tran, Shayan Gharib, Konstantinos Drossos, Tuomas Virtanen
Representation Learning for Audio Privacy Preservation Using Source Separation and Robust Adversarial Learning. WASPAA (2023)
Einari Vaaras, Sari Ahlqvist-Björkroth, Konstantinos Drossos, Liisa Lehtonen, Okko Räsänen
Development of a speech emotion recognizer for large-scale child-centered audio recordings from a hospital environment. Speech Commun. 148 (2023)
Diep Luong, Minh Tran, Shayan Gharib, Konstantinos Drossos, Tuomas Virtanen
Representation Learning for Audio Privacy Preservation using Source Separation and Robust Adversarial Learning. CoRR (2023)
Yanxiong Li, Wenchang Cao, Konstantinos Drossos, Tuomas Virtanen
Domestic Activity Clustering from Audio via Depthwise Separable Convolutional Autoencoder Network. CoRR (2022)
Samuel Lipping, Parthasaarathy Sudarsanam, Konstantinos Drossos, Tuomas Virtanen
Clotho-AQA: A Crowdsourced Dataset for Audio Question Answering. EUSIPCO (2022)
Samuel Lipping, Parthasaarathy Sudarsanam, Konstantinos Drossos, Tuomas Virtanen
Clotho-AQA: A Crowdsourced Dataset for Audio Question Answering. CoRR (2022)
Yanxiong Li, Wenchang Cao, Konstantinos Drossos, Tuomas Virtanen
Domestic Activity Clustering from Audio via Depthwise Separable Convolutional Autoencoder Network. MMSP (2022)
Huang Xie, Okko Räsänen, Konstantinos Drossos, Tuomas Virtanen
Unsupervised Audio-Caption Aligning Learns Correspondences Between Individual Sound Events and Textual Phrases. ICASSP (2022)
Jan Berg, Konstantinos Drossos
Continual Learning for Automated Audio Captioning Using The Learning Without Forgetting Approach. CoRR (2021)
Parthasaarathy Sudarsanam, Archontis Politis, Konstantinos Drossos
Assessment of Self-Attention on Learned Features For Sound Event Localization and Detection. DCASE (2021)
Xavier Favory, Konstantinos Drossos, Tuomas Virtanen, Xavier Serra
Learning Contextual Tag Embeddings for Cross-Modal Alignment of Audio and Tags. ICASSP (2021)
Einari Vaaras, Sari Ahlqvist-Björkroth, Konstantinos Drossos, Okko Räsänen
Automatic Analysis of the Emotional Content of Speech in Daylong Child-Centered Recordings from a Neonatal Intensive Care Unit. Interspeech (2021)
Einari Vaaras, Sari Ahlqvist-Björkroth, Konstantinos Drossos, Okko Räsänen
Automatic Analysis of the Emotional Content of Speech in Daylong Child-Centered Recordings from a Neonatal Intensive Care Unit. CoRR (2021)
Andres Ferraro, Xavier Favory, Konstantinos Drossos, Yuntae Kim, Dmitry Bogdanov
Enriched Music Representations With Multiple Cross-Modal Contrastive Learning. IEEE Signal Process. Lett. 28 (2021)
Parthasaarathy Sudarsanam, Archontis Politis, Konstantinos Drossos
Assessment of Self-Attention on Learned Features For Sound Event Localization and Detection. CoRR (2021)
Andreas Triantafyllopoulos, Manuel Milling, Konstantinos Drossos, Björn W. Schuller
Fairness and underspecification in acoustic scene classification: The case for disaggregated evaluations. CoRR (2021)
Jan Berg, Konstantinos Drossos
Continual Learning for Automated Audio Captioning Using the Learning without Forgetting Approach. DCASE (2021)
Björn W. Schuller, Tuomas Virtanen, Maria Riveiro, Georgios Rizos, Jing Han, Annamaria Mesaros, Konstantinos Drossos
Towards Sonification in Multimodal and User-friendlyExplainable Artificial Intelligence. ICMI (2021)
Andres Ferraro, Xavier Favory, Konstantinos Drossos, Yuntae Kim, Dmitry Bogdanov
Enriched Music Representations with Multiple Cross-modal Contrastive Learning. CoRR (2021)
Andreas Triantafyllopoulos, Manuel Milling, Konstantinos Drossos, Björn W. Schuller
Fairness and Underspecification in Acoustic Scene Classification: The Case for Disaggregated Evaluations. DCASE (2021)
Benno Weck, Xavier Favory, Konstantinos Drossos, Xavier Serra
Evaluating Off-the-Shelf Machine Listening and Natural Language Models for Automated Audio Captioning. CoRR (2021)
Emmanuel Rovithis, Nikolaos Moustakas, Konstantinos Vogklis, Konstantinos Drossos, Andreas Floros
Towards Citizen Science for Smart Cities: A Framework for a Collaborative Game of Bird Call Recognition Based on Internet of Sound Practices. CoRR (2021)
Benno Weck, Xavier Favory, Konstantinos Drossos, Xavier Serra
Evaluating Off-the-Shelf Machine Listening and Natural Language Models for Automated Audio Captioning. DCASE (2021)
An Tran, Konstantinos Drossos, Tuomas Virtanen
WaveTransformer: An Architecture for Audio Captioning Based on Learning Temporal and Time-Frequency Information. EUSIPCO (2021)
Xavier Favory, Konstantinos Drossos, Tuomas Virtanen, Xavier Serra
Learning Contextual Tag Embeddings for Cross-Modal Alignment of Audio and Tags. CoRR (2020)
Pyry Pyykkönen, Stylianos Ioannis Mimilakis, Konstantinos Drossos, Tuomas Virtanen
Depthwise Separable Convolutions Versus Recurrent Neural Networks for Monaural Singing Voice Separation. CoRR (2020)
Stylianos Ioannis Mimilakis, Konstantinos Drossos, Gerald Schuller
Revisiting Representation Learning for Singing Voice Separation with Sinkhorn Distances. CoRR (2020)
Yanxiong Li, Mingle Liu, Konstantinos Drossos, Tuomas Virtanen
Sound Event Detection Via Dilated Convolutional Recurrent Neural Networks. ICASSP (2020)
Khoa Nguyen, Konstantinos Drossos, Tuomas Virtanen
Temporal Sub-Sampling of Audio Feature Sequences for Automated Audio Captioning. DCASE (2020)
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 (2020)
Stylianos Ioannis Mimilakis, Konstantinos Drossos, Gerald Schuller
Unsupervised Interpretable Representation Learning for Singing Voice Separation. CoRR (2020)
An Tran, Konstantinos Drossos, Tuomas Virtanen
WaveTransformer: A Novel Architecture for Audio Captioning Based on Learning Temporal and Time-Frequency Information. CoRR (2020)
Konstantinos Drossos, Stylianos Ioannis Mimilakis, Shayan Gharib, Yanxiong Li, Tuomas Virtanen
Sound Event Detection with Depthwise Separable and Dilated Convolutions. CoRR (2020)
Khoa Nguyen, Konstantinos Drossos, Tuomas Virtanen
Temporal Sub-sampling of Audio Feature Sequences for Automated Audio Captioning. CoRR (2020)
Antonio Jesús Muñoz-Montoro, Julio J. Carabias-Orti, Archontis Politis, Konstantinos Drossos
Multichannel Singing Voice Separation by Deep Neural Network Informed DOA Constrained CNMF. CoRR (2020)
Xavier Favory, Konstantinos Drossos, Tuomas Virtanen, Xavier Serra
COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations. CoRR (2020)
Emre Çakir, Konstantinos Drossos, Tuomas Virtanen
Multi-task Regularization Based on Infrequent Classes for Audio Captioning. CoRR (2020)
Pyry Pyykkönen, Stylianos I. Mimilakis, Konstantinos Drossos, Tuomas Virtanen
Depthwise Separable Convolutions Versus Recurrent Neural Networks for Monaural Singing Voice Separation. MMSP (2020)
Emre Çakir, Konstantinos Drossos, Tuomas Virtanen
Multi-Task Regularization Based on Infrequent Classes for Audio Captioning. DCASE (2020)
Konstantinos Drossos, Samuel Lipping, Tuomas Virtanen
Clotho: an Audio Captioning Dataset. ICASSP (2020)
Konstantinos Drossos, Stylianos I. Mimilakis, Shayan Gharib, Yanxiong Li, Tuomas Virtanen
Sound Event Detection with Depthwise Separable and Dilated Convolutions. IJCNN (2020)
Niccoló Nicodemo, Gaurav Naithani, Konstantinos Drossos, Tuomas Virtanen, Roberto Saletti
Memory Requirement Reduction of Deep Neural Networks for Field Programmable Gate Arrays Using Low-Bit Quantization of Parameters. EUSIPCO (2020)
Stylianos I. Mimilakis, Konstantinos Drossos, Gerald Schuller
Unsupervised Interpretable Representation Learning for Singing Voice Separation. EUSIPCO (2020)
Antonio Jesús Muñoz-Montoro, Archontis Politis, Konstantinos Drossos, Julio J. Carabias-Orti
Multichannel Singing Voice Separation by Deep Neural Network Informed DOA Constrained CMNMF. MMSP (2020)
Konstantinos Drossos, Stylianos Ioannis Mimilakis, Tuomas Virtanen
Conditioned Time-Dilated Convolutions for Sound Event Detection. CoRR (2020)
Shayan Gharib, Konstantinos Drossos, Eemi Fagerlund, Tuomas Virtanen
VOICe: A Sound Event Detection Dataset For Generalizable Domain Adaptation. CoRR (2019)
Konstantinos Drossos, Paul Magron, Tuomas Virtanen
Unsupervised Adversarial Domain Adaptation Based on The Wasserstein Distance For Acoustic Scene Classification. WASPAA (2019)
Konstantinos Drossos, Samuel Lipping, Tuomas Virtanen
Clotho: An Audio Captioning Dataset. CoRR (2019)
Konstantinos Drossos, Shayan Gharib, Paul Magron, Tuomas Virtanen
Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling. CoRR (2019)
Stylianos Ioannis Mimilakis, Konstantinos Drossos, Estefanía Cano, Gerald Schuller
Examining the Mapping Functions of Denoising Autoencoders in Music Source Separation. CoRR (2019)
Niccoló Nicodemo, Gaurav Naithani, Konstantinos Drossos, Tuomas Virtanen, Roberto Saletti
Memory Requirement Reduction of Deep Neural Networks Using Low-bit Quantization of Parameters. CoRR (2019)
Konstantinos Drossos, Paul Magron, Tuomas Virtanen
Unsupervised Adversarial Domain Adaptation Based On The Wasserstein Distance For Acoustic Scene Classification. CoRR (2019)
Samuel Lipping, Konstantinos Drossos, Tuomas Virtanen
Crowdsourcing a Dataset of Audio Captions. DCASE (2019)
Samuel Lipping, Konstantinos Drossos, Tuomas Virtanen
Crowdsourcing a Dataset of Audio Captions. CoRR (2019)
Konstantinos Drossos, Shayan Gharib, Paul Magron, Tuomas Virtanen
Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling. DCASE (2019)
Shayan Gharib, Konstantinos Drossos, Emre Çakir, Dmitriy Serdyuk, Tuomas Virtanen
Unsupervised adversarial domain adaptation for acoustic scene classification. CoRR (2018)
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)
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)
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 (2018)
Shayan Gharib, Konstantinos Drossos, Emre Cakir, Dmitriy Serdyuk, Tuomas Virtanen
Unsupervised adversarial domain adaptation for acoustic scene classification. DCASE (2018)
Konstantinos Drossos, Paul Magron, Stylianos Ioannis Mimilakis, Tuomas Virtanen
Harmonic-Percussive Source Separation with Deep Neural Networks and Phase Recovery. IWAENC (2018)
Konstantinos Drossos, Stylianos Ioannis Mimilakis, Andreas Floros, Tuomas Virtanen, Gerald Schuller
Close Miking Empirical Practice Verification: A Source Separation Approach. CoRR (2018)
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)
Konstantinos Drossos, Paul Magron, Stylianos Ioannis Mimilakis, Tuomas Virtanen
Harmonic-Percussive Source Separation with Deep Neural Networks and Phase Recovery. CoRR (2018)
Paul Magron, Konstantinos Drossos, Stylianos Ioannis Mimilakis, Tuomas Virtanen
Reducing Interference with Phase Recovery in DNN-based Monaural Singing Voice Separation. INTERSPEECH (2018)
Miroslav Malik, Sharath Adavanne, Konstantinos Drossos, Tuomas Virtanen, Dasa Ticha, Roman Jarina
Stacked Convolutional and Recurrent Neural Networks for Music Emotion Recognition. CoRR (2017)
Emre Cakir, Sharath Adavanne, Giambattista Parascandolo, Konstantinos Drossos, Tuomas Virtanen
Convolutional recurrent neural networks for bird audio detection. EUSIPCO (2017)
Stylianos Ioannis Mimilakis, Konstantinos Drossos, Tuomas Virtanen, Gerald Schuller
A Recurrent Encoder-Decoder Approach with Skip-filtering Connections for Monaural Singing Voice Separation. CoRR (2017)
Sharath Adavanne, Konstantinos Drossos, Emre Cakir, Tuomas Virtanen
Stacked convolutional and recurrent neural networks for bird audio detection. EUSIPCO (2017)
Konstantinos Drossos, Sharath Adavanne, Tuomas Virtanen
Automated Audio Captioning with Recurrent Neural Networks. CoRR (2017)
Emre Çakir, Sharath Adavanne, Giambattista Parascandolo, Konstantinos Drossos, Tuomas Virtanen
Convolutional Recurrent Neural Networks for Bird Audio Detection. CoRR (2017)
Konstantinos Drossos, Sharath Adavanne, Tuomas Virtanen
Automated audio captioning with recurrent neural networks. WASPAA (2017)
Sharath Adavanne, Konstantinos Drossos, Emre Çakir, Tuomas Virtanen
Stacked Convolutional and Recurrent Neural Networks for Bird Audio Detection. CoRR (2017)
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 (2017)
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)
Konstantinos Drossos, Andreas Floros, Andreas Giannakoulopoulos, Nikolaos Kanellopoulos
Investigating the Impact of Sound Angular Position on the Listener Affective State. IEEE Trans. Affect. Comput. 6 (1) (2015)
Konstantinos Drossos, Nikolaos Zormpas, George Giannakopoulos, Andreas Floros
Accessible games for blind children, empowered by binaural sound. PETRA (2015)
Maximos A. Kaliakatsos-Papakostas, Andreas Floros, Konstantinos Drossos, Konstantinos Koukoudis, Manolis Kyzalas, Achilleas Kalantzis
Swarm Lake: A Game of Swarm Intelligence, Human Interaction and Collaborative Music Composition. ICMC (2014)
Konstantinos Drossos, Andreas Floros, Andreas Giannakoulopoulos
BEADS: A dataset of Binaural Emotionally Annotated Digital Sounds. IISA (2014)
Konstantinos Drossos, Andreas Floros, Stelios M. Potirakis, Nicolas-Alexander Tatlas, Gurkan Tuna
A socially-intelligent multi-robot service team for in-home monitoring. IISA (2014)
Konstantinos Drossos, Andreas Floros, Konstantinos Koukoudis
Gestural user interface for audio multitrack real-time stereo mixing. Audio Mostly Conference (2013)
Konstantinos Drossos, Rigas Kotsakis, George Kalliris, Andreas Floros
Sound events and emotions: Investigating the relation of rhythmic characteristics and arousal. IISA (2013)
Konstantinos Drossos, Andreas Floros, Nikolaos-Grigorios Kanellopoulos
Affective acoustic ecology: towards emotionally enhanced sound events. Audio Mostly Conference (2012)
Konstantinos Drossos, Stylianos Ioannis Mimilakis, Andreas Floros, Nikolaos Kanellopoulos
Stereo Goes Mobile: Spatial Enhancement for Short-distance Loudspeaker Setups. IIH-MSP (2012)
Vasillis Psarras, Andreas Floros, Konstantinos Drossos, Marianne Strapatsakis
Emotional control and visual representation using advanced audiovisual interaction. Int. J. Arts Technol. 4 (4) (2011)
Nikolas Grigoriou, Andreas Floros, Konstantinos Drossos
Binaural mixing using gestural control interaction. Audio Mostly Conference (2010)