P
Paolo Vecchiotti
Researcher at Marche Polytechnic University
Publications - 9
Citations - 200
Paolo Vecchiotti is an academic researcher from Marche Polytechnic University. The author has contributed to research in topics: Convolutional neural network & Voice activity detection. The author has an hindex of 7, co-authored 9 publications receiving 143 citations.
Papers
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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
End-to-end Binaural Sound Localisation from the Raw Waveform
TL;DR: In this paper, an end-to-end binaural sound localisation approach using a convolutional neural network (CNN) is proposed which estimates the azimuth of a sound source directly from the waveform.
Journal ArticleDOI
Localizing speakers in multiple rooms by using Deep Neural Networks
TL;DR: It is shown how DNN-based algorithm significantly outperforms the state-of-the-art approaches evaluated on the DIRHA dataset, providing an average localization error expressed in terms of Root Mean Square Error (RMSE), equal to 324 mm and 367 mm for the Simulated and the Real subsets.
Proceedings ArticleDOI
Deep neural networks for Multi-Room Voice Activity Detection: Advancements and comparative evaluation
TL;DR: This paper focuses on Voice Activity Detectors (VAD) for multi-room domestic scenarios based on deep neural network architectures and a comparative and extensive analysis is lead among four different neural networks (NN).
Posted Content
End-to-end Binaural Sound Localisation from the Raw Waveform
TL;DR: A novel end-to-end binaural sound localisation approach is proposed which estimates the azimuth of a sound source directly from the waveform and suggests that the CNN is able to exploit different frequency bands for localisation according to the characteristics of the reverberant environment.