Fabio Vesperini

According to our database1, Fabio Vesperini authored at least 13 papers between 2015 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

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

Processing Acoustic Data with Siamese Neural Networks for Enhanced Road Roughness Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019

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

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

2017
Deep Recurrent Neural Network-Based Autoencoders for Acoustic Novelty Detection.
Comput. Intell. Neurosci., 2017

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

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

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

Combining evolution strategies and neural network procedures for compression driver design.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection.
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.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015


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