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2020 – today
- 2020
[p2]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
2010 – 2019
- 2019
- [j3]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) - [c10]Leonardo Gabrielli, Livio Ambrosini, Fabio Vesperini, Valeria Bruschi, Stefano Squartini, Luca Cattani:
Processing Acoustic Data with Siamese Neural Networks for Enhanced Road Roughness Classification. IJCNN 2019: 1-7 - 2018
- [j2]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) - [c9]Fabio Vesperini, Diego Droghini, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini:
Hierarchic Conv Nets Framework for Rare Sound Event Detection. EUSIPCO 2018: 1497-1501 - [c8]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 - [p1]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
- [j1]Erik Marchi, Fabio Vesperini, Stefano Squartini, Björn W. Schuller:
Deep Recurrent Neural Network-Based Autoencoders for Acoustic Novelty Detection. Comput. Intell. Neurosci. 2017: 4694860:1-4694860:14 (2017) - [c7]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 - [c6]Emanuele Principi, Fabio Vesperini, Stefano Squartini, Francesco Piazza:
Acoustic novelty detection with adversarial autoencoders. IJCNN 2017: 3324-3330 - 2016
- [c5]Michele Gasparini, Fabio Vesperini, Stefania Cecchi, Stefano Squartini, Francesco Piazza, Romolo Toppi:
Combining evolution strategies and neural network procedures for compression driver design. IJCNN 2016: 3385-3390 - [c4]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 - [c3]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 - 2015
- [c2]Erik Marchi, Fabio Vesperini, Florian Eyben, Stefano Squartini, Björn W. Schuller:
A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks. ICASSP 2015: 1996-2000 - [c1]Erik Marchi, Fabio Vesperini, Felix Weninger, Florian Eyben, Stefano Squartini, Björn W. Schuller:
Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection. IJCNN 2015: 1-7
Coauthor Index
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