45 citations · 83 across the 6 of their papers we have counts for
6 papers
Learning Speech Emotion Representations in the Quaternion Domain
Eric Guizzo, Tillman Weyde, Simone Scardapane +1
The modeling of human emotion expression in speech signals is an important, yet challenging task. The high resource demand of speech emotion recognition models, combined with the t…
L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment
Eric Guizzo, Christian Marinoni, Marco Pennese +6
The L3DAS22 Challenge is aimed at encouraging the development of machine learning strategies for 3D speech enhancement and 3D sound localization and detection in office-like enviro…
L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing
Eric Guizzo, Riccardo F. Gramaccioni, Saeid Jamili +11
The L3DAS21 Challenge is aimed at encouraging and fostering collaborative research on machine learning for 3D audio signal processing, with particular focus on 3D speech enhancemen…
Anti-Transfer Learning for Task Invariance in Convolutional Neural Networks for Speech Processing
Eric Guizzo, Tillman Weyde, Giacomo Tarroni
We introduce the novel concept of anti-transfer learning for speech processing with convolutional neural networks. While transfer learning assumes that the learning process for a t…
A Neural Network Based Framework for Archetypical Sound Synthesis
Eric Guizzo, Alberto Novello
This paper describes a preliminary approach to algorithmically reproduce the archetypical structure adopted by humans to classify sounds. In particular, we propose an approach to p…
Multi-Time-Scale Convolution for Emotion Recognition from Speech Audio Signals
Eric Guizzo, Tillman Weyde, Jack Barnett Leveson
Robustness against temporal variations is important for emotion recognition from speech audio, since emotion is ex-pressed through complex spectral patterns that can exhibit signif…