F
Fabio Vesperini
Researcher at Marche Polytechnic University
Publications - 20
Citations - 672
Fabio Vesperini is an academic researcher from Marche Polytechnic University. The author has contributed to research in topics: Artificial neural network & Convolutional neural network. The author has an hindex of 9, co-authored 20 publications receiving 527 citations.
Papers
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Proceedings ArticleDOI
A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks
TL;DR: This paper presents a novel unsupervised approach based on a denoising autoencoder which significantly outperforms existing methods by achieving up to 93.4% F-Measure.
Journal ArticleDOI
Deep Recurrent Neural Network-Based Autoencoders for Acoustic Novelty Detection
TL;DR: How RNN-based autoencoders outperform statistical approaches up to an absolute improvement of 16.4% average F-measure over the three databases is shown.
Proceedings ArticleDOI
Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection
TL;DR: In this paper, auditory spectral features of the next short-term frame are predicted from the previous frames by means of Long-Short Term Memory (LSTM) recurrent denoising autoencoders, which yields an effective generative model for audio.
Proceedings ArticleDOI
A neural network based algorithm for speaker localization in a multi-room environment
TL;DR: A Speaker Localization algorithm based on Neural Networks for multi-room domestic scenarios is proposed and outperforms the reference one, providing an average localization error, expressed in terms of RMSE, equal to 525 mm against 1465 mm.
Proceedings ArticleDOI
Acoustic novelty detection with adversarial autoencoders
TL;DR: The presented approach showed promising results on this task and it could be extended as a general training strategy for autoencoders if confirmed by additional experiments.