Emanuele Principi

Orcid: 0000-0002-2835-7277

According to our database1, Emanuele Principi authored at least 67 papers between 2005 and 2025.

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Bibliography

2025
A weakly supervised active learning framework for non-intrusive load monitoring.
Integr. Comput. Aided Eng., 2025

2024
Knowledge Distillation for Scalable Nonintrusive Load Monitoring.
IEEE Trans. Ind. Informatics, March, 2024

2023
Multilabel Appliance Classification With Weakly Labeled Data for Non-Intrusive Load Monitoring.
IEEE Trans. Smart Grid, 2023

Appliance-Incremental Learning for Non-Intrusive Load Monitoring.
Proceedings of the IEEE International Conference on Communications, 2023

Joint Detection and Active Cancellation of Snoring Signals in Real-Time.
Proceedings of the 2023 4th International Symposium on the Internet of Sounds, 2023

Improving Knowledge Distillation for Non-Intrusive Load Monitoring Through Explainability Guided Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A Multiple Instance Regression Approach to Electrical Load Disaggregation.
Proceedings of the 30th European Signal Processing Conference, 2022

Graph Node Embeddings for ontology-aware Sound Event Classification: an evaluation study.
Proceedings of the 30th European Signal Processing Conference, 2022

Weakly Supervised Transfer Learning for Multi-label Appliance Classification.
AII, 2022

2021
Audio Metric Learning by Using Siamese Autoencoders for One-Shot Human Fall Detection.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Graph-based Representation of Audio signals for Sound Event Classification.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Convolutional Recurrent Neural Networks and Acoustic Data Augmentation for Snore Detection.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Neural Beamforming for Speech Enhancement: Preliminary Results.
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Novel Adversarial Training Scheme for Deep Neural Network based Speech Enhancement.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Emergency Siren Recognition in Urban Scenarios: Synthetic Dataset and Deep Learning Models.
Proceedings of the Intelligent Computing Theories and Application, 2020

Task-Aware Separation for the DCASE 2020 Task 4 Sound Event Detection and Separation Challenge.
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

Domain-Adversarial Training and Trainable Parallel Front-End for the DCASE 2020 Task 4 Sound Event Detection Challenge.
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

2019
An End-To-End Unsupervised Approach Employing Convolutional Neural Network Autoencoders for Human Fall Detection.
Proceedings of the Quantifying and Processing Biomedical and Behavioral Signals, 2019

Polyphonic Sound Event Detection by Using Capsule Neural Networks.
IEEE J. Sel. Top. Signal Process., 2019

Unsupervised electric motor fault detection by using deep autoencoders.
IEEE CAA J. Autom. Sinica, 2019

Detection of activity and position of speakers by using deep neural networks and acoustic data augmentation.
Expert Syst. Appl., 2019

Automatic Detection of Cry Sounds in Neonatal Intensive Care Units by Using Deep Learning and Acoustic Scene Simulation.
IEEE Access, 2019

2018
Convolutional Neural Networks with 3-D Kernels for Voice Activity Detection in a Multiroom Environment.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

Human Fall Detection by Using an Innovative Floor Acoustic Sensor.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

Localizing speakers in multiple rooms by using Deep Neural Networks.
Comput. Speech Lang., 2018

Snore Sounds Excitation Localization by Using Scattering Transform and Deep Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Exploiting the Reactive Power in Deep Neural Models for Non-Intrusive Load Monitoring.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Hierarchic Conv Nets Framework for Rare Sound Event Detection.
Proceedings of the 26th European Signal Processing Conference, 2018

Deep Neural Networks for Joint Voice Activity Detection and Speaker Localization.
Proceedings of the 26th European Signal Processing Conference, 2018

Infant Cry Detection in Adverse Acoustic Environments by Using Deep Neural Networks.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
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

Acoustic novelty detection with adversarial autoencoders.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Road Type Classification Using Acoustic Signals: Deep Learning Models and Real-Time Implementation.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

A neural network approach for sound event detection in real life audio.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
ELM Based Algorithms for Acoustic Template Matching in Home Automation Scenarios: Advancements and Performance Analysis.
Proceedings of the Recent Advances in Nonlinear Speech Processing, 2016

Acoustic cues from the floor: A new approach for fall classification.
Expert Syst. Appl., 2016

User-aided footprint extraction for appliance modelling in Non-Intrusive Load Monitoring.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A neural network based algorithm for speaker localization in a multi-room environment.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Deep neural networks for Multi-Room Voice Activity Detection: Advancements and comparative evaluation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

An experimental study on new features for activity of daily living recognition.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Signer independent isolated Italian sign recognition based on hidden Markov models.
Pattern Anal. Appl., 2015

Acoustic template-matching for automatic emergency state detection: An ELM based algorithm.
Neurocomputing, 2015

An integrated system for voice command recognition and emergency detection based on audio signals.
Expert Syst. Appl., 2015

A Deep Neural Network approach for Voice Activity Detection in multi-room domestic scenarios.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Advanced integration of multimedia assistive technologies: A prospective outlook.
Proceedings of the 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, 2014

Power Normalized Cepstral Coefficients based supervectors and i-vectors for small vocabulary speech recognition.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
A Real-Time Speech Enhancement Framework in Noisy and Reverberated Acoustic Scenarios.
Cogn. Comput., 2013

A distributed system for recognizing home automation commands and distress calls in the Italian language.
Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

2012
Environmental robust speech and speaker recognition through multi-channel histogram equalization.
Neurocomputing, 2012

Real-Time Activity Detection in a Multi-Talker Reverberated Environment.
Cogn. Comput., 2012

A New System for Automatic Recognition of Italian Sign Language.
Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

Dominance Detection in a Reverberated Acoustic Scenario.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

A New Italian Sign Language Database.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2012

2011
Enhanced Multichannel Histogram Equalization for Speech Recognition in noisy acoustic conditions.
Proceedings of the Neural Nets WIRN11, 2011

A Real-Time Speech Enhancement Framework for Multi-party Meetings.
Proceedings of the Advances in Nonlinear Speech Processing, 2011

Real-Time Joint Blind Speech Separation and Dereverberation in Presence of Overlapping Speakers.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Real-Time Speech Recognition in a Multi-talker Reverberated Acoustic Scenario.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011

Conversational Speech Recognition in Non-stationary Reverberated Environments.
Proceedings of the Cognitive Behavioural Systems, 2011

2010
Comparative Evaluation of Single-Channel MMSE-Based Noise Reduction Schemes for Speech Recognition.
J. Electr. Comput. Eng., 2010

Multichannel Cepstral Domain Feature Warping for Robust Speech Recognition.
Proceedings of the Neural Nets WIRN10, 2010

Robust speech recognition using feature-domain multi-channel bayesian estimators.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Efficient SNR Driven SPLICE Implementation for Robust Speech Recognition.
Proceedings of the Analysis of Verbal and Nonverbal Communication and Enactment. The Processing Issues, 2010

An Evaluation Study on Speech Feature Densities for Bayesian Estimation in Robust ASR.
Proceedings of the Toward Autonomous, Adaptive, and Context-Aware Multimodal Interfaces. Theoretical and Practical Issues, 2010

2009
A real-time Speech-interfaced System for Group Conversation Modeling.
Proceedings of the Neural Nets WIRN09, 2009

2008
A robust iterative inverse filtering approach for speech dereverberation in presence of disturbances.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2008

2005
An ICA based approach for blind deconvolution of three-dimensional signals.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005


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