Fabio Vesperini

According to our database, Fabio Vesperini authored at least 15 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Convolutional Recurrent Neural Networks and Acoustic Data Augmentation for Snore Detection.

Fabio Vesperini, Luca Romeo, Emanuele Principi, Andrea Monteriù, Stefano Squartini

Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

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

Processing Acoustic Data with Siamese Neural Networks for Enhanced Road Roughness Classification.

Leonardo Gabrielli, Livio Ambrosini, Fabio Vesperini, Valeria Bruschi, Stefano Squartini, Luca Cattani

Proceedings of the International Joint Conference on Neural Networks, 2019

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

Proceedings of the Multidisciplinary Approaches to Neural Computing, 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

Snore Sounds Excitation Localization by Using Scattering Transform and Deep Neural Networks.

Fabio Vesperini, Andrea Galli, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Hierarchic Conv Nets Framework for Rare Sound Event Detection.

Fabio Vesperini, Diego Droghini, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Deep Recurrent Neural Network-Based Autoencoders for Acoustic Novelty Detection.

Erik Marchi, Fabio Vesperini, Stefano Squartini, Björn W. Schuller

Comput. Intell. Neurosci., 2017

Acoustic novelty detection with adversarial autoencoders.

Emanuele Principi, Fabio Vesperini, Stefano Squartini, Francesco Piazza

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A neural network approach for sound event detection in real life audio.

Michele Valenti, Dario Tonelli, Fabio Vesperini, Emanuele Principi, Stefano Squartini

Proceedings of the 25th European Signal Processing Conference, 2017

2016

A neural network based algorithm for speaker localization in a multi-room environment.

Fabio Vesperini, Paolo Vecchiotti, Emanuele Principi, Stefano Squartini, Francesco Piazza

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.

Fabio Vesperini, Paolo Vecchiotti, Emanuele Principi, Stefano Squartini, Francesco Piazza

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Combining evolution strategies and neural network procedures for compression driver design.

Michele Gasparini, Fabio Vesperini, Stefania Cecchi, Stefano Squartini, Francesco Piazza, Romolo Toppi

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection.

Erik Marchi, Fabio Vesperini, Felix Weninger, Florian Eyben, Stefano Squartini, Björn W. Schuller

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks.

Erik Marchi, Fabio Vesperini, Florian Eyben, Stefano Squartini, Björn W. Schuller

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015