Giacomo Ferroni

According to our database, Giacomo Ferroni authored at least 8 papers between 2014 and 2021.

Collaborative distances:

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

2021

Improving Sound Event Detection Metrics: Insights from DCASE 2020.

Giacomo Ferroni, Nicolas Turpault, Juan Azcarreta, Francesco Tuveri, Romain Serizel, Çagdas Bilen, Sacha Krstulovic

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

A Framework for the Robust Evaluation of Sound Event Detection.

Çagdas Bilen, Giacomo Ferroni, Francesco Tuveri, Juan Azcarreta, Sacha Krstulovic

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2016

ELM Based Algorithms for Acoustic Template Matching in Home Automation Scenarios: Advancements and Performance Analysis.

Giulio della Porta, Emanuele Principi, Giacomo Ferroni, Stefano Squartini, Amir Hussain, Francesco Piazza

Proceedings of the Recent Advances in Nonlinear Speech Processing, 2016

2015

An integrated system for voice command recognition and emergency detection based on audio signals.

Emanuele Principi, Stefano Squartini, Roberto Bonfigli, Giacomo Ferroni, Francesco Piazza

Expert Syst. Appl., 2015

A Deep Neural Network approach for Voice Activity Detection in multi-room domestic scenarios.

Giacomo Ferroni, Roberto Bonfigli, Emanuele Principi, Stefano Squartini, Francesco Piazza

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

2014

Advanced integration of multimedia assistive technologies: A prospective outlook.

Daniele Liciotti, Giacomo Ferroni, Emanuele Frontoni, Stefano Squartini, Emanuele Principi, Roberto Bonfigli, Primo Zingaretti, Francesco Piazza

Proceedings of the 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, 2014

Audio onset detection: A wavelet packet based approach with recurrent neural networks.

Erik Marchi, Giacomo Ferroni, Florian Eyben, Stefano Squartini, Björn W. Schuller

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Multi-resolution linear prediction based features for audio onset detection with bidirectional LSTM neural networks.

Erik Marchi, Giacomo Ferroni, Florian Eyben, Leonardo Gabrielli, Stefano Squartini, Björn W. Schuller

Proceedings of the IEEE International Conference on Acoustics, 2014