Stefano Squartini

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 86

Top Venues

Publications

Giovanni Morrone, Samuele Cornell, Luca Serafini, Enrico Zovato, Alessio Brutti, Stefano Squartini
End-to-end integration of speech separation and voice activity detection for low-latency diarization of telephone conversations. Speech Commun. 161 (2024)
Cosimo Ieracitano, Francesco Carlo Morabito, Stefano Squartini, Kaizhu Huang, Xuelong Li, Mufti Mahmud
Guest Editorial: Advances in Deep Learning for Clinical and Healthcare Applications. Cogn. Comput. 16 (3) (2024)
Giulia Tanoni, Lina Stankovic, Vladimir Stankovic, Stefano Squartini, Emanuele Principi
Knowledge Distillation for Scalable Nonintrusive Load Monitoring. IEEE Trans. Ind. Informatics 20 (3) (2024)
Samuele Cornell, Jee-Weon Jung, Shinji Watanabe, Stefano Squartini
One Model to Rule Them All ? Towards End-to-End Joint Speaker Diarization and Speech Recognition. ICASSP (2024)
Carlo Aironi, Samuele Cornell, Stefano Squartini
A Graph-Based Neural Approach to Linear Sum Assignment Problems. Int. J. Neural Syst. 34 (3) (2024)
Luca Serafini, Samuele Cornell, Giovanni Morrone, Enrico Zovato, Alessio Brutti, Stefano Squartini
An Experimental Review of Speaker Diarization methods with application to Two-Speaker Conversational Telephone Speech recordings. CoRR (2023)
Giulia Tanoni, Emanuele Principi, Stefano Squartini
Multilabel Appliance Classification With Weakly Labeled Data for Non-Intrusive Load Monitoring. IEEE Trans. Smart Grid 14 (1) (2023)
Giovanni Morrone, Samuele Cornell, Luca Serafini, Enrico Zovato, Alessio Brutti, Stefano Squartini
End-to-End Integration of Speech Separation and Voice Activity Detection for Low-Latency Diarization of Telephone Conversations. CoRR (2023)
Valeria Bruschi, Michela Cantarini, Luca Serafini, Stefano Nobili, Stefania Cecchi, Stefano Squartini
An Enhanced System for the Detection and Active Cancellation of Snoring Signals. MLSP (2023)
Samuele Cornell, Jee-weon Jung, Shinji Watanabe, Stefano Squartini
One model to rule them all ? Towards End-to-End Joint Speaker Diarization and Speech Recognition. CoRR (2023)
Giulia Tanoni, Emanuele Principi, Luigi Mandolini, Stefano Squartini
Appliance-Incremental Learning for Non-Intrusive Load Monitoring. SmartGridComm (2023)
Luca Serafini, Samuele Cornell, Giovanni Morrone, Enrico Zovato, Alessio Brutti, Stefano Squartini
An experimental review of speaker diarization methods with application to two-speaker conversational telephone speech recordings. Comput. Speech Lang. 82 (2023)
Samuele Cornell, Matthew Wiesner, Shinji Watanabe, Desh Raj, Xuankai Chang, Paola García, Yoshiki Masuyama, Zhong-Qiu Wang, Stefano Squartini, Sanjeev Khudanpur
The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios. CoRR (2023)
Lucia Migliorelli, Lorenzo Scoppolini Massini, Michela Coccia, Laura Villani, Emanuele Frontoni, Stefano Squartini
A deep learning-based telemonitoring application to automatically assess oral diadochokinesis in patients with bulbar amyotrophic lateral sclerosis. Comput. Methods Programs Biomed. 242 (2023)
Samuele Cornell, Zhong-Qiu Wang, Yoshiki Masuyama, Shinji Watanabe, Manuel Pariente, Nobutaka Ono, Stefano Squartini
Multi-Channel Speaker Extraction with Adversarial Training: The Wavlab Submission to The Clarity ICASSP 2023 Grand Challenge. ICASSP (2023)
Carlo Aironi, Samuele Cornell, Luca Serafini, Stefano Squartini
A Time-Frequency Generative Adversarial Based Method for Audio Packet Loss Concealment. EUSIPCO (2023)
Giulia Tanoni, Emanuele Principi, Luigi Mandolini, Stefano Squartini
Weakly Supervised Transfer Learning for Multi-label Appliance Classification. AII (2022)
Leonardo Gabrielli, Stefano D'Angelo, Pier Paolo La Pastina, Stefano Squartini
Antiderivative Antialiasing for Arbitrary Waveform Generation. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Giovanni Morrone, Samuele Cornell, Desh Raj, Luca Serafini, Enrico Zovato, Alessio Brutti, Stefano Squartini
Low-Latency Speech Separation Guided Diarization for Telephone Conversations. SLT (2022)
Carlo Aironi, Samuele Cornell, Stefano Squartini
Tackling the Linear Sum Assignment Problem with Graph Neural Networks. AII (2022)
Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini, Carlo Tripodi, Nicolo Strozzi
Digital Filters Design for Personal Sound Zones: a Neural Approach. IJCNN (2022)
Michela Cantarini, Leonardo Gabrielli, Stefano Squartini
Few-Shot Emergency Siren Detection. Sensors 22 (12) (2022)
Luca Serafini, Giulia Tanoni, Emanuele Principi, Susanna Spinsante, Stefano Squartini
A Multiple Instance Regression Approach to Electrical Load Disaggregation. EUSIPCO (2022)
Samuele Cornell, Manuel Pariente, François Grondin, Stefano Squartini
Learning Filterbanks for End-to-End Acoustic Beamforming. ICASSP (2022)
Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini, Carlo Tripodi, Nicolo Strozzi
Deep Optimization of Parametric IIR Filters for Audio Equalization. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Carlo Aironi, Samuele Cornell, Emanuele Principi, Stefano Squartini
Graph Node Embeddings for ontology-aware Sound Event Classification: an evaluation study. EUSIPCO (2022)
Samuele Cornell, Maurizio Omologo, Stefano Squartini, Emmanuel Vincent
Overlapped Speech Detection and speaker counting using distant microphone arrays. Comput. Speech Lang. 72 (2022)
Michela Cantarini, Leonardo Gabrielli, Lucia Migliorelli, Adriano Mancini, Stefano Squartini
Beware the Sirens: Prototyping an Emergency Vehicle Detection System for Smart Cars. AII (2022)
Andrea Castellani, Sebastian Schmitt, Stefano Squartini
Real-World Anomaly Detection by Using Digital Twin Systems and Weakly Supervised Learning. IEEE Trans. Ind. Informatics 17 (7) (2021)
Carlo Aironi, Samuele Cornell, Emanuele Principi, Stefano Squartini
Graph-based Representation of Audio signals for Sound Event Classification. EUSIPCO (2021)
Michela Cantarini, Anna Brocanelli, Leonardo Gabrielli, Stefano Squartini
Acoustic Features for Deep Learning-Based Models for Emergency Siren Detection: An Evaluation Study. ISPA (2021)
Samuele Cornell, Alessio Brutti, Marco Matassoni, Stefano Squartini
Learning to Rank Microphones for Distant Speech Recognition. Interspeech (2021)
Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini, Carlo Tripodi, Nicolo Strozzi
Deep Optimization of Parametric IIR Filters for Audio Equalization. CoRR (2021)
Samuele Cornell, Alessio Brutti, Marco Matassoni, Stefano Squartini
Learning to Rank Microphones for Distant Speech Recognition. CoRR (2021)
Samuele Cornell, Manuel Pariente, François Grondin, Stefano Squartini
Learning Filterbanks for End-to-End Acoustic Beamforming. CoRR (2021)
Diego Droghini, Stefano Squartini, Emanuele Principi, Leonardo Gabrielli, Francesco Piazza
Audio Metric Learning by Using Siamese Autoencoders for One-Shot Human Fall Detection. IEEE Trans. Emerg. Top. Comput. Intell. 5 (1) (2021)
Michela Cantarini, Luca Serafini, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini
Emergency Siren Recognition in Urban Scenarios: Synthetic Dataset and Deep Learning Models. ICIC (1) (2020)
Michele D'Incecco, Stefano Squartini, Mingjun Zhong
Transfer Learning for Non-Intrusive Load Monitoring. IEEE Trans. Smart Grid 11 (2) (2020)
Samuele Cornell, Michel Olvera, Manuel Pariente, Giovanni Pepe, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini
Task-Aware Separation for the DCASE 2020 Task 4 Sound Event Detection and Separation Challenge. DCASE (2020)
Marco Severini, Emanuele Principi, Samuele Cornell, Leonardo Gabrielli, Stefano Squartini
Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks. IJCNN (2020)
Andrea Castellani, Sebastian Schmitt, Stefano Squartini
Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning. CoRR (2020)
Samuele Cornell, Michel Olvera, Manuel Pariente, Giovanni Pepe, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini
Domain-Adversarial Training and Trainable Parallel Front-End for the DCASE 2020 Task 4 Sound Event Detection Challenge. DCASE (2020)
Samuele Cornell, Emanuele Principi, Stefano Squartini
A Novel Adversarial Training Scheme for Deep Neural Network based Speech Enhancement. IJCNN (2020)
Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini, Luca Cattani, Carlo Tripodi
Deep Learning for Individual Listening Zone. MMSP (2020)
Samuele Cornell, Maurizio Omologo, Stefano Squartini, Emmanuel Vincent
Detecting and Counting Overlapping Speakers in Distant Speech Scenarios. INTERSPEECH (2020)
Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini, Luca Cattani, Carlo Tripodi
Gravitational Search Algorithm for IIR Filter-Based Audio Equalization. EUSIPCO (2020)
Marco Severini, Daniele Ferretti, Emanuele Principi, Stefano Squartini
Automatic Detection of Cry Sounds in Neonatal Intensive Care Units by Using Deep Learning and Acoustic Scene Simulation. IEEE Access 7 (2019)
Leonardo Gabrielli, Stefano Tomassetti, Stefano Squartini, Carlo Zinato, Stefano Guaiana
A Multi-Stage Algorithm for Acoustic Physical Model Parameters Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 27 (8) (2019)
Michele D'Incecco, Stefano Squartini, Mingjun Zhong
Transfer Learning for Non-Intrusive Load Monitoring. CoRR (2019)
Paolo Vecchiotti, Ning Ma, Stefano Squartini, Guy J. Brown
End-to-end Binaural Sound Localisation from the Raw Waveform. CoRR (2019)
Paolo Vecchiotti, Ning Ma, Stefano Squartini, Guy J. Brown
End-to-end Binaural Sound Localisation from the Raw Waveform. ICASSP (2019)
Fabio Vesperini, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini
Polyphonic Sound Event Detection by Using Capsule Neural Networks. IEEE J. Sel. Top. Signal Process. 13 (2) (2019)
Paolo Vecchiotti, Giovanni Pepe, Emanuele Principi, Stefano Squartini
Detection of activity and position of speakers by using deep neural networks and acoustic data augmentation. Expert Syst. Appl. 134 (2019)
Leonardo Gabrielli, Livio Ambrosini, Fabio Vesperini, Valeria Bruschi, Stefano Squartini, Luca Cattani
Processing Acoustic Data with Siamese Neural Networks for Enhanced Road Roughness Classification. IJCNN (2019)
Emanuele Principi, Damiano Rossetti, Stefano Squartini, Francesco Piazza
Unsupervised electric motor fault detection by using deep autoencoders. IEEE CAA J. Autom. Sinica 6 (2) (2019)
Md. Sahidullah, Jose Patino, Samuele Cornell, Ruiqing Yin, Sunit Sivasankaran, Hervé Bredin, Pavel Korshunov, Alessio Brutti, Romain Serizel, Emmanuel Vincent, Nicholas W. D. Evans, Sébastien Marcel, Stefano Squartini, Claude Barras
The Speed Submission to DIHARD II: Contributions & Lessons Learned. CoRR (2019)
Daniele Ferretti, Marco Severini, Emanuele Principi, Annalisa Cenci, Stefano Squartini
Infant Cry Detection in Adverse Acoustic Environments by Using Deep Neural Networks. EUSIPCO (2018)
Marco Severini, Ornella Pisacane, Marco Fagiani, Stefano Squartini
Collaborative Energy Management in Micro-Grid environments through multi-objective optimization. IJCNN (2018)
Fabio Vesperini, Paolo Vecchiotti, Emanuele Principi, Stefano Squartini, Francesco Piazza
Localizing speakers in multiple rooms by using Deep Neural Networks. Comput. Speech Lang. 49 (2018)
Stefano Squartini, Björn W. Schuller, Aurelio Uncini, C.-K. Ting
Guest Editorial Special Issue on Computational Intelligence for End-to-End Audio Processing. IEEE Trans. Emerg. Top. Comput. Intell. 2 (2) (2018)
Leonardo Gabrielli, Stefano Tomassetti, Stefano Squartini, Carlo Zinato, Stefano Guaiana
A Multi-Stage Algorithm for Acoustic Physical Model Parameters Estimation. CoRR (2018)
Fabio Vesperini, Andrea Galli, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini
Snore Sounds Excitation Localization by Using Scattering Transform and Deep Neural Networks. IJCNN (2018)
Fabio Vesperini, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini
Polyphonic Sound Event Detection by using Capsule Neural Networks. CoRR (2018)
Michele Valenti, Roberto Bonfigli, Emanuele Principi, Stefano Squartini
Exploiting the Reactive Power in Deep Neural Models for Non-Intrusive Load Monitoring. IJCNN (2018)
Susanna Spinsante, Marco Fagiani, Marco Severini, Stefano Squartini, Friedrich Ellmenreich, Giusy Martelli
Depth-Based Fall Detection: Outcomes from a Real Life Pilot. ForItAAL (2018)
Marco Arnesano, Jack Dyson, Marco Fagiani, Adriano Mancini, Gian Marco Revel, Marco Severini, Stefano Squartini, Lorenzo Zampetti, Primo Zingaretti
An IoT Solution for Energy Management at Building and District Level. MESA (2018)
Dongbin Zhao, Derong Liu, Frank L. Lewis, José C. Príncipe, Stefano Squartini
Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 29 (6) (2018)
Paolo Vecchiotti, Emanuele Principi, Stefano Squartini, Francesco Piazza
Deep Neural Networks for Joint Voice Activity Detection and Speaker Localization. EUSIPCO (2018)
Fabio Vesperini, Diego Droghini, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini
Hierarchic Conv Nets Framework for Rare Sound Event Detection. EUSIPCO (2018)
Erik Marchi, Fabio Vesperini, Stefano Squartini, Björn W. Schuller
Deep Recurrent Neural Network-Based Autoencoders for Acoustic Novelty Detection. Comput. Intell. Neurosci. 2017 (2017)
Giovanni Pepe, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini, Luca Cattani
Road Type Classification Using Acoustic Signals: Deep Learning Models and Real-Time Implementation. IIH-MSP (1) (2017)
Michele Valenti, Dario Tonelli, Fabio Vesperini, Emanuele Principi, Stefano Squartini
A neural network approach for sound event detection in real life audio. EUSIPCO (2017)
Marco Fagiani, Marco Severini, Stefano Squartini, Lucio Ciabattoni, Francesco Ferracuti, Alessandro Fonti, Gabriele Comodi
A new open-source Energy Management framework: Functional description and preliminary results. CEC (2017)
Diego Droghini, Daniele Ferretti, Emanuele Principi, Stefano Squartini, Francesco Piazza
A Combined One-Class SVM and Template-Matching Approach for User-Aided Human Fall Detection by Means of Floor Acoustic Features. Comput. Intell. Neurosci. 2017 (2017)
Michele Valenti, Stefano Squartini, Aleksandr Diment, Giambattista Parascandolo, Tuomas Virtanen
A convolutional neural network approach for acoustic scene classification. IJCNN (2017)
Emanuele Principi, Fabio Vesperini, Stefano Squartini, Francesco Piazza
Acoustic novelty detection with adversarial autoencoders. IJCNN (2017)
Roberto Bonfigli, Marco Severini, Stefano Squartini, Marco Fagiani, Francesco Piazza
Improving the performance of the AFAMAP algorithm for Non-Intrusive Load Monitoring. CEC (2016)
Michele Valenti, Aleksandr Diment, Giambattista Parascandolo, Stefano Squartini, Tuomas Virtanen
DCASE 2016 Acoustic Scene Classification Using Convolutional Neural Networks. DCASE (2016)
Michele Gasparini, Fabio Vesperini, Stefania Cecchi, Stefano Squartini, Francesco Piazza, Romolo Toppi
Combining evolution strategies and neural network procedures for compression driver design. IJCNN (2016)
Fabio Vesperini, Paolo Vecchiotti, Emanuele Principi, Stefano Squartini, Francesco Piazza
Deep neural networks for Multi-Room Voice Activity Detection: Advancements and comparative evaluation. IJCNN (2016)
Roberto Bonfigli, Emanuele Principi, Stefano Squartini, Marco Fagiani, Marco Severini, Francesco Piazza
User-aided footprint extraction for appliance modelling in Non-Intrusive Load Monitoring. SSCI (2016)
Erik Marchi, Dario Tonelli, Xinzhou Xu, Fabien Ringeval, Jun Deng, Stefano Squartini, Björn W. Schuller
Pairwise Decomposition with Deep Neural Networks and Multiscale Kernel Subspace Learning for Acoustic Scene Classification. DCASE (2016)
Marco Fagiani, Stefano Squartini, Roberto Bonfigli, Marco Severini, Francesco Piazza
Exploiting temporal features and pressure data for automatic leakage detection in smart water grids. CEC (2016)
Daniele Ferretti, Emanuele Principi, Stefano Squartini, Luigi Mandolini
An experimental study on new features for activity of daily living recognition. IJCNN (2016)
Emanuele Principi, Diego Droghini, Stefano Squartini, Paolo Olivetti, Francesco Piazza
Acoustic cues from the floor: A new approach for fall classification. Expert Syst. Appl. 60 (2016)
Fabio Vesperini, Paolo Vecchiotti, Emanuele Principi, Stefano Squartini, Francesco Piazza
A neural network based algorithm for speaker localization in a multi-room environment. MLSP (2016)
Stefano Squartini, Derong Liu, Francesco Piazza, Dongbin Zhao, Haibo He
Computational Energy Management in Smart Grids. Neurocomputing 170 (2015)
Marco Fagiani, Emanuele Principi, Stefano Squartini, Francesco Piazza
Signer independent isolated Italian sign recognition based on hidden Markov models. Pattern Anal. Appl. 18 (2) (2015)
Marco Fagiani, Stefano Squartini, Leonardo Gabrielli, Susanna Spinsante, Francesco Piazza
A review of datasets and load forecasting techniques for smart natural gas and water grids: Analysis and experiments. Neurocomputing 170 (2015)
Giacomo Ferroni, Roberto Bonfigli, Emanuele Principi, Stefano Squartini, Francesco Piazza
A Deep Neural Network approach for Voice Activity Detection in multi-room domestic scenarios. IJCNN (2015)
Emanuele Principi, Stefano Squartini, Erik Cambria, Francesco Piazza
Acoustic template-matching for automatic emergency state detection: An ELM based algorithm. Neurocomputing 149 (2015)
Marco Fagiani, Stefano Squartini, Marco Severini, Francesco Piazza
A novelty detection approach to identify the occurrence of leakage in smart gas and water grids. IJCNN (2015)
Erik Marchi, Fabio Vesperini, Florian Eyben, Stefano Squartini, Björn W. Schuller
A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks. ICASSP (2015)
Marco Severini, Stefano Squartini, Francesco Piazza, Massimo Conti
Energy-Aware task scheduler for self-powered sensor nodes: From model to firmware. Ad Hoc Networks 24 (2015)
Erik Marchi, Fabio Vesperini, Felix Weninger, Florian Eyben, Stefano Squartini, Björn W. Schuller
Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection. IJCNN (2015)
Marco Severini, Stefano Squartini, Marco Fagiani, Francesco Piazza
Energy management with the support of dynamic pricing strategies in real micro-grid scenarios. IJCNN (2015)
Emanuele Principi, Stefano Squartini, Roberto Bonfigli, Giacomo Ferroni, Francesco Piazza
An integrated system for voice command recognition and emergency detection based on audio signals. Expert Syst. Appl. 42 (13) (2015)
Erik Marchi, Giacomo Ferroni, Florian Eyben, Leonardo Gabrielli, Stefano Squartini, Björn W. Schuller
Multi-resolution linear prediction based features for audio onset detection with bidirectional LSTM neural networks. ICASSP (2014)
Marco Severini, Stefano Squartini, Francesco Piazza
Computational framework based on task and resource scheduling for micro grid design. IJCNN (2014)
Leonardo Gabrielli, Mirco Pizzichini, Susanna Spinsante, Stefano Squartini, Roberto Gavazzi
Smart water grids for smart cities: A sustainable prototype demonstrator. EuCNC (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stefano Squartini