Fabio Vesperini

16 papers B 6Misc 1Journal 4Unranked 3
YearRankTypeTitle / Venue / Authors
2020 — ch.
Convolutional Recurrent Neural Networks and Acoustic Data Augmentation for Snore Detection.
Neural Approaches to Dynamics of Signal Exchanges
Fabio Vesperini, Luca Romeo, Emanuele Principi, Andrea Monteriù, Stefano Squartini
2019 J jnl
Polyphonic Sound Event Detection by Using Capsule Neural Networks.
IEEE J. Sel. Top. Signal Process.
Fabio Vesperini, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini
2019 B conf
Processing Acoustic Data with Siamese Neural Networks for Enhanced Road Roughness Classification.
IJCNN
Leonardo Gabrielli, Livio Ambrosini, Fabio Vesperini, Valeria Bruschi, Stefano Squartini, Luca Cattani
2018 — ch.
Convolutional Neural Networks with 3-D Kernels for Voice Activity Detection in a Multiroom Environment.
Multidisciplinary Approaches to Neural Computing
Paolo Vecchiotti, Fabio Vesperini, Emanuele Principi, Stefano Squartini, Francesco Piazza
2018 — conf
Hierarchic Conv Nets Framework for Rare Sound Event Detection.
EUSIPCO
Fabio Vesperini, Diego Droghini, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini
2018 J jnl
Localizing speakers in multiple rooms by using Deep Neural Networks.
Comput. Speech Lang.
Fabio Vesperini, Paolo Vecchiotti, Emanuele Principi, Stefano Squartini, Francesco Piazza
2018 J jnl
Polyphonic Sound Event Detection by using Capsule Neural Networks.
CoRR
Fabio Vesperini, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini
2018 B conf
Snore Sounds Excitation Localization by Using Scattering Transform and Deep Neural Networks.
IJCNN
Fabio Vesperini, Andrea Galli, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini
2017 — conf
A neural network approach for sound event detection in real life audio.
EUSIPCO
Michele Valenti, Dario Tonelli, Fabio Vesperini, Emanuele Principi, Stefano Squartini
2017 B conf
Acoustic novelty detection with adversarial autoencoders.
IJCNN
Emanuele Principi, Fabio Vesperini, Stefano Squartini, Francesco Piazza
2017 J jnl
Deep Recurrent Neural Network-Based Autoencoders for Acoustic Novelty Detection.
Comput. Intell. Neurosci.
Erik Marchi, Fabio Vesperini, Stefano Squartini, Björn W. Schuller
2016 — conf
A neural network based algorithm for speaker localization in a multi-room environment.
MLSP
Fabio Vesperini, Paolo Vecchiotti, Emanuele Principi, Stefano Squartini, Francesco Piazza
2016 B conf
Combining evolution strategies and neural network procedures for compression driver design.
IJCNN
Michele Gasparini, Fabio Vesperini, Stefania Cecchi, Stefano Squartini, Francesco Piazza, Romolo Toppi
2016 B conf
Deep neural networks for Multi-Room Voice Activity Detection: Advancements and comparative evaluation.
IJCNN
Fabio Vesperini, Paolo Vecchiotti, Emanuele Principi, Stefano Squartini, Francesco Piazza
2015 Misc conf
A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks.
ICASSP
Erik Marchi, Fabio Vesperini, Florian Eyben, Stefano Squartini, Björn W. Schuller
2015 B conf
Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection.
IJCNN
Erik Marchi, Fabio Vesperini, Felix Weninger, Florian Eyben, Stefano Squartini, Björn W. Schuller