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2020 – today
- 2025
- [j18]Giulia Tanoni, Tamara Sobot, Emanuele Principi, Vladimir Stankovic, Lina Stankovic, Stefano Squartini:
A weakly supervised active learning framework for non-intrusive load monitoring. Integr. Comput. Aided Eng. 32(1): 37-54 (2025) - 2024
- [j17]Giulia Tanoni, Lina Stankovic, Vladimir Stankovic, Stefano Squartini, Emanuele Principi:
Knowledge Distillation for Scalable Nonintrusive Load Monitoring. IEEE Trans. Ind. Informatics 20(3): 4710-4721 (2024) - 2023
- [j16]Giulia Tanoni, Emanuele Principi, Stefano Squartini:
Multilabel Appliance Classification With Weakly Labeled Data for Non-Intrusive Load Monitoring. IEEE Trans. Smart Grid 14(1): 440-452 (2023) - [c43]Djordje Batic, Giulia Tanoni, Lina Stankovic, Vladimir Stankovic, Emanuele Principi:
Improving Knowledge Distillation for Non-Intrusive Load Monitoring Through Explainability Guided Learning. ICASSP 2023: 1-5 - [c42]Luca Serafini, Valeria Bruschi, Stefano Nobili, Emanuele Principi, Stefania Cecchi, Stefano Squartini:
Joint Detection and Active Cancellation of Snoring Signals in Real-Time. IS2 2023: 1-9 - [c41]Giulia Tanoni, Emanuele Principi, Luigi Mandolini, Stefano Squartini:
Appliance-Incremental Learning for Non-Intrusive Load Monitoring. SmartGridComm 2023: 1-6 - 2022
- [c40]Giulia Tanoni, Emanuele Principi, Luigi Mandolini, Stefano Squartini:
Weakly Supervised Transfer Learning for Multi-label Appliance Classification. AII 2022: 360-375 - [c39]Carlo Aironi, Samuele Cornell, Emanuele Principi, Stefano Squartini:
Graph Node Embeddings for ontology-aware Sound Event Classification: an evaluation study. EUSIPCO 2022: 414-418 - [c38]Luca Serafini, Giulia Tanoni, Emanuele Principi, Susanna Spinsante, Stefano Squartini:
A Multiple Instance Regression Approach to Electrical Load Disaggregation. EUSIPCO 2022: 1666-1670 - 2021
- [j15]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): 108-118 (2021) - [c37]Carlo Aironi, Samuele Cornell, Emanuele Principi, Stefano Squartini:
Graph-based Representation of Audio signals for Sound Event Classification. EUSIPCO 2021: 566-570 - 2020
- [c36]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: 26-30 - [c35]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: 31-35 - [c34]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: 207-220 - [c33]Samuele Cornell, Emanuele Principi, Stefano Squartini:
A Novel Adversarial Training Scheme for Deep Neural Network based Speech Enhancement. IJCNN 2020: 1-8 - [c32]Marco Severini, Emanuele Principi, Samuele Cornell, Leonardo Gabrielli, Stefano Squartini:
Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks. IJCNN 2020: 1-8 - [p6]Fabio Vesperini, Luca Romeo, Emanuele Principi, Andrea Monteriù, Stefano Squartini:
Convolutional Recurrent Neural Networks and Acoustic Data Augmentation for Snore Detection. Neural Approaches to Dynamics of Signal Exchanges 2020: 35-46 - [p5]Stefano Tomassetti, Leonardo Gabrielli, Emanuele Principi, Daniele Ferretti, Stefano Squartini:
Neural Beamforming for Speech Enhancement: Preliminary Results. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 37-47
2010 – 2019
- 2019
- [j14]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: 51982-51993 (2019) - [j13]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: 53-65 (2019) - [j12]Emanuele Principi, Damiano Rossetti, Stefano Squartini, Francesco Piazza:
Unsupervised electric motor fault detection by using deep autoencoders. IEEE CAA J. Autom. Sinica 6(2): 441-451 (2019) - [j11]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): 310-322 (2019) - [p4]Diego Droghini, Daniele Ferretti, Emanuele Principi, Stefano Squartini, Francesco Piazza:
An End-To-End Unsupervised Approach Employing Convolutional Neural Network Autoencoders for Human Fall Detection. Quantifying and Processing Biomedical and Behavioral Signals 2019: 185-196 - 2018
- [j10]Fabio Vesperini, Paolo Vecchiotti, Emanuele Principi, Stefano Squartini, Francesco Piazza:
Localizing speakers in multiple rooms by using Deep Neural Networks. Comput. Speech Lang. 49: 83-106 (2018) - [c31]Daniele Ferretti, Marco Severini, Emanuele Principi, Annalisa Cenci, Stefano Squartini:
Infant Cry Detection in Adverse Acoustic Environments by Using Deep Neural Networks. EUSIPCO 2018: 992-996 - [c30]Fabio Vesperini, Diego Droghini, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini:
Hierarchic Conv Nets Framework for Rare Sound Event Detection. EUSIPCO 2018: 1497-1501 - [c29]Paolo Vecchiotti, Emanuele Principi, Stefano Squartini, Francesco Piazza:
Deep Neural Networks for Joint Voice Activity Detection and Speaker Localization. EUSIPCO 2018: 1567-1571 - [c28]Michele Valenti, Roberto Bonfigli, Emanuele Principi, Stefano Squartini:
Exploiting the Reactive Power in Deep Neural Models for Non-Intrusive Load Monitoring. IJCNN 2018: 1-8 - [c27]Fabio Vesperini, Andrea Galli, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini:
Snore Sounds Excitation Localization by Using Scattering Transform and Deep Neural Networks. IJCNN 2018: 1-8 - [p3]Diego Droghini, Emanuele Principi, Stefano Squartini, Paolo Olivetti, Francesco Piazza:
Human Fall Detection by Using an Innovative Floor Acoustic Sensor. Multidisciplinary Approaches to Neural Computing 2018: 97-107 - [p2]Paolo Vecchiotti, Fabio Vesperini, Emanuele Principi, Stefano Squartini, Francesco Piazza:
Convolutional Neural Networks with 3-D Kernels for Voice Activity Detection in a Multiroom Environment. Multidisciplinary Approaches to Neural Computing 2018: 161-170 - [i1]Fabio Vesperini, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini:
Polyphonic Sound Event Detection by using Capsule Neural Networks. CoRR abs/1810.06325 (2018) - 2017
- [j9]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: 1512670:1-1512670:13 (2017) - [c26]Michele Valenti, Dario Tonelli, Fabio Vesperini, Emanuele Principi, Stefano Squartini:
A neural network approach for sound event detection in real life audio. EUSIPCO 2017: 2754-2758 - [c25]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: 33-43 - [c24]Emanuele Principi, Fabio Vesperini, Stefano Squartini, Francesco Piazza:
Acoustic novelty detection with adversarial autoencoders. IJCNN 2017: 3324-3330 - 2016
- [j8]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: 51-61 (2016) - [c23]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: 3391-3398 - [c22]Daniele Ferretti, Emanuele Principi, Stefano Squartini, Luigi Mandolini:
An experimental study on new features for activity of daily living recognition. IJCNN 2016: 3958-3965 - [c21]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: 1-6 - [c20]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: 1-8 - [p1]Giulio della Porta, Emanuele Principi, Giacomo Ferroni, Stefano Squartini, Amir Hussain, Francesco Piazza:
ELM Based Algorithms for Acoustic Template Matching in Home Automation Scenarios: Advancements and Performance Analysis. Recent Advances in Nonlinear Speech Processing 2016: 159-168 - 2015
- [j7]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): 5668-5683 (2015) - [j6]Emanuele Principi, Stefano Squartini, Erik Cambria, Francesco Piazza:
Acoustic template-matching for automatic emergency state detection: An ELM based algorithm. Neurocomputing 149: 426-434 (2015) - [j5]Marco Fagiani, Emanuele Principi, Stefano Squartini, Francesco Piazza:
Signer independent isolated Italian sign recognition based on hidden Markov models. Pattern Anal. Appl. 18(2): 385-402 (2015) - [c19]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: 1-8 - 2014
- [c18]Emanuele Principi, Stefano Squartini, Francesco Piazza:
Power Normalized Cepstral Coefficients based supervectors and i-vectors for small vocabulary speech recognition. IJCNN 2014: 3562-3568 - [c17]Daniele Liciotti, Giacomo Ferroni, Emanuele Frontoni, Stefano Squartini, Emanuele Principi, Roberto Bonfigli, Primo Zingaretti, Francesco Piazza:
Advanced integration of multimedia assistive technologies: A prospective outlook. MESA 2014: 1-6 - 2013
- [j4]Rudy Rotili, Emanuele Principi, Stefano Squartini, Björn W. Schuller:
A Real-Time Speech Enhancement Framework in Noisy and Reverberated Acoustic Scenarios. Cogn. Comput. 5(4): 504-516 (2013) - [c16]Emanuele Principi, Stefano Squartini, Francesco Piazza, Danilo Fuselli, Maurizio Bonifazi:
A distributed system for recognizing home automation commands and distress calls in the Italian language. INTERSPEECH 2013: 2049-2053 - 2012
- [j3]Emanuele Principi, Rudy Rotili, Martin Wöllmer, Florian Eyben, Stefano Squartini, Björn W. Schuller:
Real-Time Activity Detection in a Multi-Talker Reverberated Environment. Cogn. Comput. 4(4): 386-397 (2012) - [j2]Stefano Squartini, Emanuele Principi, Rudy Rotili, Francesco Piazza:
Environmental robust speech and speaker recognition through multi-channel histogram equalization. Neurocomputing 78(1): 111-120 (2012) - [c15]Marco Fagiani, Emanuele Principi, Stefano Squartini, Francesco Piazza:
A New Italian Sign Language Database. BICS 2012: 164-173 - [c14]Emanuele Principi, Rudy Rotili, Martin Wöllmer, Stefano Squartini, Björn W. Schuller:
Dominance Detection in a Reverberated Acoustic Scenario. ISNN (1) 2012: 394-402 - [c13]Marco Fagiani, Emanuele Principi, Stefano Squartini, Francesco Piazza:
A New System for Automatic Recognition of Italian Sign Language. WIRN 2012: 69-79 - 2011
- [c12]Rudy Rotili, Emanuele Principi, Martin Wöllmer, Stefano Squartini, Björn W. Schuller:
Conversational Speech Recognition in Non-stationary Reverberated Environments. COST 2102 Training School 2011: 50-59 - [c11]Rudy Rotili, Emanuele Principi, Stefano Squartini, Björn W. Schuller:
Real-Time Speech Recognition in a Multi-talker Reverberated Acoustic Scenario. ICIC (2) 2011: 379-386 - [c10]Rudy Rotili, Emanuele Principi, Stefano Squartini, Francesco Piazza:
Real-Time Joint Blind Speech Separation and Dereverberation in Presence of Overlapping Speakers. ISNN (2) 2011: 437-446 - [c9]Rudy Rotili, Emanuele Principi, Stefano Squartini, Björn W. Schuller:
A Real-Time Speech Enhancement Framework for Multi-party Meetings. NOLISP 2011: 80-87 - [c8]Emanuele Principi, Rudy Rotili, Stefano Squartini:
Enhanced Multichannel Histogram Equalization for Speech Recognition in noisy acoustic conditions. WIRN 2011: 149-161 - 2010
- [j1]Emanuele Principi, Simone Cifani, Rudy Rotili, Stefano Squartini, Francesco Piazza:
Comparative Evaluation of Single-Channel MMSE-Based Noise Reduction Schemes for Speech Recognition. J. Electr. Comput. Eng. 2010: 962103:1-962103:6 (2010) - [c7]Stefano Squartini, Emanuele Principi, Simone Cifani, Rudy Rotili, Francesco Piazza:
Efficient SNR Driven SPLICE Implementation for Robust Speech Recognition. COST 2102 Conference 2010: 70-80 - [c6]Simone Cifani, Emanuele Principi, Rudy Rotili, Stefano Squartini, Francesco Piazza:
An Evaluation Study on Speech Feature Densities for Bayesian Estimation in Robust ASR. COST 2102 Training School 2010: 283-297 - [c5]Emanuele Principi, Rudy Rotili, Simone Cifani, Lorenzo Marinelli, Stefano Squartini, Francesco Piazza:
Robust speech recognition using feature-domain multi-channel bayesian estimators. ISCAS 2010: 2670-2673 - [c4]Stefano Squartini, Marco Fagiani, Emanuele Principi, Francesco Piazza:
Multichannel Cepstral Domain Feature Warping for Robust Speech Recognition. WIRN 2010: 284-292
2000 – 2009
- 2009
- [c3]Cesare Rocchi, Emanuele Principi, Simone Cifani, Rudy Rotili, Stefano Squartini, Francesco Piazza:
A real-time Speech-interfaced System for Group Conversation Modeling. WIRN 2009: 70-80 - 2008
- [c2]Rudy Rotili, Simone Cifani, Emanuele Principi, Stefano Squartini, Francesco Piazza:
A robust iterative inverse filtering approach for speech dereverberation in presence of disturbances. APCCAS 2008: 434-437 - 2005
- [c1]Emanuele Principi, Stefano Squartini, Francesco Piazza:
An ICA based approach for blind deconvolution of three-dimensional signals. ISCAS (6) 2005: 5714-5717
Coauthor Index
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last updated on 2024-11-13 23:48 CET by the dblp team
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