An ICA based approach for blind deconvolution of three-dimensional signals. - Emanuele Principi; Stefano Squartini; Francesco Piazza (ISCAS (6), 2005)

A robust iterative inverse filtering approach for speech dereverberation in presence of disturbances. - Rudy Rotili; Simone Cifani; Emanuele Principi; Stefano Squartini; Francesco Piazza (APCCAS, 2008)

A real-time Speech-interfaced System for Group Conversation Modeling. - Cesare Rocchi; Emanuele Principi; Simone Cifani; Rudy Rotili; Stefano Squartini; Francesco Piazza (WIRN, 2009)

An Evaluation Study on Speech Feature Densities for Bayesian Estimation in Robust ASR. - Simone Cifani; Emanuele Principi; Rudy Rotili; Stefano Squartini; Francesco Piazza (COST 2102 Training School, 2010)

Efficient SNR Driven SPLICE Implementation for Robust Speech Recognition. - Stefano Squartini; Emanuele Principi; Simone Cifani; Rudy Rotili; Francesco Piazza (COST 2102 Conference, 2010)

Robust speech recognition using feature-domain multi-channel bayesian estimators. - Emanuele Principi; Rudy Rotili; Simone Cifani; Lorenzo Marinelli; Stefano Squartini; Francesco Piazza (ISCAS, 2010)

Multichannel Cepstral Domain Feature Warping for Robust Speech Recognition. - Stefano Squartini; Marco Fagiani; Emanuele Principi; Francesco Piazza (WIRN, 2010)

Comparative Evaluation of Single-Channel MMSE-Based Noise Reduction Schemes for Speech Recognition. - Emanuele Principi; Simone Cifani; Rudy Rotili; Stefano Squartini; Francesco Piazza (J. Electr. Comput. Eng., 2010)

Conversational Speech Recognition in Non-stationary Reverberated Environments. - Rudy Rotili; Emanuele Principi; Martin Wöllmer; Stefano Squartini; Björn W. Schuller (COST 2102 Training School, 2011)

Real-Time Speech Recognition in a Multi-talker Reverberated Acoustic Scenario. - Rudy Rotili; Emanuele Principi; Stefano Squartini; Björn W. Schuller (ICIC (2), 2011)

Real-Time Joint Blind Speech Separation and Dereverberation in Presence of Overlapping Speakers. - Rudy Rotili; Emanuele Principi; Stefano Squartini; Francesco Piazza (ISNN (2), 2011)

A Real-Time Speech Enhancement Framework for Multi-party Meetings. - Rudy Rotili; Emanuele Principi; Stefano Squartini; Björn W. Schuller (NOLISP, 2011)

Enhanced Multichannel Histogram Equalization for Speech Recognition in noisy acoustic conditions. - Emanuele Principi; Rudy Rotili; Stefano Squartini (WIRN, 2011)

A New Italian Sign Language Database. - Marco Fagiani; Emanuele Principi; Stefano Squartini; Francesco Piazza (BICS, 2012)

Dominance Detection in a Reverberated Acoustic Scenario. - Emanuele Principi; Rudy Rotili; Martin Wöllmer; Stefano Squartini; Björn W. Schuller (ISNN (1), 2012)

A New System for Automatic Recognition of Italian Sign Language. - Marco Fagiani; Emanuele Principi; Stefano Squartini; Francesco Piazza (WIRN, 2012)

Real-Time Activity Detection in a Multi-Talker Reverberated Environment. - Emanuele Principi; Rudy Rotili; Martin Wöllmer; Florian Eyben; Stefano Squartini; Björn W. Schuller (Cogn. Comput., 2012)

Environmental robust speech and speaker recognition through multi-channel histogram equalization. - Stefano Squartini; Emanuele Principi; Rudy Rotili; Francesco Piazza (Neurocomputing, 2012)

A distributed system for recognizing home automation commands and distress calls in the Italian language. - Emanuele Principi; Stefano Squartini; Francesco Piazza; Danilo Fuselli; Maurizio Bonifazi (INTERSPEECH, 2013)

A Real-Time Speech Enhancement Framework in Noisy and Reverberated Acoustic Scenarios. - Rudy Rotili; Emanuele Principi; Stefano Squartini; Björn W. Schuller (Cogn. Comput., 2013)

Power Normalized Cepstral Coefficients based supervectors and i-vectors for small vocabulary speech recognition. - Emanuele Principi; Stefano Squartini; Francesco Piazza (IJCNN, 2014)

Advanced integration of multimedia assistive technologies: A prospective outlook. - Daniele Liciotti; Giacomo Ferroni; Emanuele Frontoni; Stefano Squartini; Emanuele Principi; Roberto Bonfigli; Primo Zingaretti; Francesco Piazza (MESA, 2014)

A Deep Neural Network approach for Voice Activity Detection in multi-room domestic scenarios. - Giacomo Ferroni; Roberto Bonfigli; Emanuele Principi; Stefano Squartini; Francesco Piazza (IJCNN, 2015)

An integrated system for voice command recognition and emergency detection based on audio signals. - Emanuele Principi; Stefano Squartini; Roberto Bonfigli; Giacomo Ferroni; Francesco Piazza (Expert Syst. Appl., 2015)

Acoustic template-matching for automatic emergency state detection: An ELM based algorithm. - Emanuele Principi; Stefano Squartini; Erik Cambria; Francesco Piazza (Neurocomputing, 2015)

Signer independent isolated Italian sign recognition based on hidden Markov models. - Marco Fagiani; Emanuele Principi; Stefano Squartini; Francesco Piazza (Pattern Anal. Appl., 2015)

An experimental study on new features for activity of daily living recognition. - Daniele Ferretti; Emanuele Principi; Stefano Squartini; Luigi Mandolini (IJCNN, 2016)

Deep neural networks for Multi-Room Voice Activity Detection: Advancements and comparative evaluation. - Fabio Vesperini; Paolo Vecchiotti; Emanuele Principi; Stefano Squartini; Francesco Piazza (IJCNN, 2016)

A neural network based algorithm for speaker localization in a multi-room environment. - Fabio Vesperini; Paolo Vecchiotti; Emanuele Principi; Stefano Squartini; Francesco Piazza (MLSP, 2016)

User-aided footprint extraction for appliance modelling in Non-Intrusive Load Monitoring. - Roberto Bonfigli; Emanuele Principi; Stefano Squartini; Marco Fagiani; Marco Severini; Francesco Piazza (SSCI, 2016)

Acoustic cues from the floor: A new approach for fall classification. - Emanuele Principi; Diego Droghini; Stefano Squartini; Paolo Olivetti; Francesco Piazza (Expert Syst. Appl., 2016)

ELM Based Algorithms for Acoustic Template Matching in Home Automation Scenarios: Advancements and Performance Analysis. - Giulio della Porta; Emanuele Principi; Giacomo Ferroni; Stefano Squartini; Amir Hussain 001; Francesco Piazza (Recent Advances in Nonlinear Speech Processing, 2016)

A neural network approach for sound event detection in real life audio. - Michele Valenti; Dario Tonelli; Fabio Vesperini; Emanuele Principi; Stefano Squartini (EUSIPCO, 2017)

Road Type Classification Using Acoustic Signals: Deep Learning Models and Real-Time Implementation. - Giovanni Pepe; Leonardo Gabrielli; Emanuele Principi; Stefano Squartini; Luca Cattani (IIH-MSP (1), 2017)

Acoustic novelty detection with adversarial autoencoders. - Emanuele Principi; Fabio Vesperini; Stefano Squartini; Francesco Piazza (IJCNN, 2017)

A Combined One-Class SVM and Template-Matching Approach for User-Aided Human Fall Detection by Means of Floor Acoustic Features. - Diego Droghini; Daniele Ferretti; Emanuele Principi; Stefano Squartini; Francesco Piazza (Comput. Intell. Neurosci., 2017)

Infant Cry Detection in Adverse Acoustic Environments by Using Deep Neural Networks. - Daniele Ferretti; Marco Severini; Emanuele Principi; Annalisa Cenci; Stefano Squartini (EUSIPCO, 2018)

Deep Neural Networks for Joint Voice Activity Detection and Speaker Localization. - Paolo Vecchiotti; Emanuele Principi; Stefano Squartini; Francesco Piazza (EUSIPCO, 2018)

Hierarchic Conv Nets Framework for Rare Sound Event Detection. - Fabio Vesperini; Diego Droghini; Emanuele Principi; Leonardo Gabrielli; Stefano Squartini (EUSIPCO, 2018)

Exploiting the Reactive Power in Deep Neural Models for Non-Intrusive Load Monitoring. - Michele Valenti; Roberto Bonfigli; Emanuele Principi; Stefano Squartini (IJCNN, 2018)

Snore Sounds Excitation Localization by Using Scattering Transform and Deep Neural Networks. - Fabio Vesperini; Andrea Galli; Leonardo Gabrielli; Emanuele Principi; Stefano Squartini (IJCNN, 2018)

Localizing speakers in multiple rooms by using Deep Neural Networks. - Fabio Vesperini; Paolo Vecchiotti; Emanuele Principi; Stefano Squartini; Francesco Piazza (Comput. Speech Lang., 2018)

Human Fall Detection by Using an Innovative Floor Acoustic Sensor. - Diego Droghini; Emanuele Principi; Stefano Squartini; Paolo Olivetti; Francesco Piazza (Multidisciplinary Approaches to Neural Computing, 2018)

Convolutional Neural Networks with 3-D Kernels for Voice Activity Detection in a Multiroom Environment. - Paolo Vecchiotti; Fabio Vesperini; Emanuele Principi; Stefano Squartini; Francesco Piazza (Multidisciplinary Approaches to Neural Computing, 2018)

Automatic Detection of Cry Sounds in Neonatal Intensive Care Units by Using Deep Learning and Acoustic Scene Simulation. - Marco Severini; Daniele Ferretti; Emanuele Principi; Stefano Squartini (IEEE Access, 2019)

Detection of activity and position of speakers by using deep neural networks and acoustic data augmentation. - Paolo Vecchiotti; Giovanni Pepe; Emanuele Principi; Stefano Squartini (Expert Syst. Appl., 2019)

Unsupervised electric motor fault detection by using deep autoencoders. - Emanuele Principi; Damiano Rossetti; Stefano Squartini; Francesco Piazza (IEEE CAA J. Autom. Sinica, 2019)

Polyphonic Sound Event Detection by Using Capsule Neural Networks. - Fabio Vesperini; Leonardo Gabrielli; Emanuele Principi; Stefano Squartini (IEEE J. Sel. Top. Signal Process., 2019)

An End-To-End Unsupervised Approach Employing Convolutional Neural Network Autoencoders for Human Fall Detection. - Diego Droghini; Daniele Ferretti; Emanuele Principi; Stefano Squartini; Francesco Piazza (Quantifying and Processing Biomedical and Behavioral Signals, 2019)

Domain-Adversarial Training and Trainable Parallel Front-End for the DCASE 2020 Task 4 Sound Event Detection Challenge. - Samuele Cornell; Michel Olvera; Manuel Pariente; Giovanni Pepe; Emanuele Principi; Leonardo Gabrielli; Stefano Squartini (DCASE, 2020)

Task-Aware Separation for the DCASE 2020 Task 4 Sound Event Detection and Separation Challenge. - Samuele Cornell; Michel Olvera; Manuel Pariente; Giovanni Pepe; Emanuele Principi; Leonardo Gabrielli; Stefano Squartini (DCASE, 2020)

Emergency Siren Recognition in Urban Scenarios: Synthetic Dataset and Deep Learning Models. - Michela Cantarini; Luca Serafini; Leonardo Gabrielli; Emanuele Principi; Stefano Squartini (ICIC (1), 2020)

A Novel Adversarial Training Scheme for Deep Neural Network based Speech Enhancement. - Samuele Cornell; Emanuele Principi; Stefano Squartini (IJCNN, 2020)

Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks. - Marco Severini; Emanuele Principi; Samuele Cornell; Leonardo Gabrielli; Stefano Squartini (IJCNN, 2020)

Neural Beamforming for Speech Enhancement: Preliminary Results. - Stefano Tomassetti; Leonardo Gabrielli; Emanuele Principi; Daniele Ferretti; Stefano Squartini (Neural Advances in Processing Nonlinear Dynamic Signals, 2020)

Convolutional Recurrent Neural Networks and Acoustic Data Augmentation for Snore Detection. - Fabio Vesperini; Luca Romeo; Emanuele Principi; Andrea Monteriù; Stefano Squartini (Neural Approaches to Dynamics of Signal Exchanges, 2020)

Graph-based Representation of Audio signals for Sound Event Classification. - Carlo Aironi; Samuele Cornell; Emanuele Principi; Stefano Squartini (EUSIPCO, 2021)

Audio Metric Learning by Using Siamese Autoencoders for One-Shot Human Fall Detection. - Diego Droghini; Stefano Squartini; Emanuele Principi; Leonardo Gabrielli; Francesco Piazza (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Weakly Supervised Transfer Learning for Multi-label Appliance Classification. - Giulia Tanoni; Emanuele Principi; Luigi Mandolini; Stefano Squartini (AII, 2022)

Graph Node Embeddings for ontology-aware Sound Event Classification: an evaluation study. - Carlo Aironi; Samuele Cornell; Emanuele Principi; Stefano Squartini (EUSIPCO, 2022)

A Multiple Instance Regression Approach to Electrical Load Disaggregation. - Luca Serafini; Giulia Tanoni; Emanuele Principi; Susanna Spinsante; Stefano Squartini (EUSIPCO, 2022)

Improving Knowledge Distillation for Non-Intrusive Load Monitoring Through Explainability Guided Learning. - Djordje Batic; Giulia Tanoni; Lina Stankovic; Vladimir Stankovic 001; Emanuele Principi (ICASSP, 2023)

Joint Detection and Active Cancellation of Snoring Signals in Real-Time. - Luca Serafini; Valeria Bruschi; Stefano Nobili; Emanuele Principi; Stefania Cecchi; Stefano Squartini (IS2, 2023)

Appliance-Incremental Learning for Non-Intrusive Load Monitoring. - Giulia Tanoni; Emanuele Principi; Luigi Mandolini; Stefano Squartini (SmartGridComm, 2023)

Multilabel Appliance Classification With Weakly Labeled Data for Non-Intrusive Load Monitoring. - Giulia Tanoni; Emanuele Principi; Stefano Squartini (IEEE Trans. Smart Grid, 2023)

Knowledge Distillation for Scalable Nonintrusive Load Monitoring. - Giulia Tanoni; Lina Stankovic; Vladimir Stankovic 001; Stefano Squartini; Emanuele Principi (IEEE Trans. Ind. Informatics, 2024)

A Deep Cascade Framework for Non-Intrusive Power Disaggregation in Solar-Powered Households. - Giulia Tanoni; Redemptor Laceda Taloma; Emanuele Principi; Danilo Comminiello; Stefano Squartini (ISCAS, 2025)

Interpretability and reliability-driven knowledge distillation for non-intrusive load monitoring on the edge. - Djordje Batic; Giulia Tanoni; Emanuele Principi; Lina Stankovic; Vladimir Stankovic 001; Stefano Squartini (Expert Syst. Appl., 2025)

A weakly supervised active learning framework for non-intrusive load monitoring. - Giulia Tanoni; Tamara Sobot; Emanuele Principi; Vladimir Stankovic 001; Lina Stankovic; Stefano Squartini (Integr. Comput. Aided Eng., 2025)