Towards a Multimodal Time-Based Empathy Prediction System. - Francesco Barbieri; Eric Guizzo; Federico Lucchesi; Giovanni Maffei; Fermín Moscoso del Prado Martín; Tillman Weyde (FG, 2019)

Multi-Time-Scale Convolution for Emotion Recognition from Speech Audio Signals. - Eric Guizzo; Tillman Weyde; Jack Barnett Leveson (ICASSP, 2020)

A Neural Network Based Framework for Archetypical Sound Synthesis. - Eric Guizzo; Alberto Novello (CoRR, 2020)

Blissful Ignorance: Anti-Transfer Learning for Task Invariance. - Eric Guizzo; Tillman Weyde; Giacomo Tarroni (CoRR, 2020)

L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing. - Eric Guizzo; Riccardo F. Gramaccioni; Saeid Jamili; Christian Marinoni; Edoardo Massaro; Claudia Medaglia; Giuseppe Nachira; Leonardo Nucciarelli; Ludovica Paglialunga; Marco Pennese; Sveva Pepe; Enrico Rocchi; et al. (MLSP, 2021)

Anti-transfer learning for task invariance in convolutional neural networks for speech processing. - Eric Guizzo; Tillman Weyde; Giacomo Tarroni (Neural Networks, 2021)

L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment. - Eric Guizzo; Christian Marinoni; Marco Pennese; Xinlei Ren; Xiguang Zheng; Chen Zhang; Bruno S. Masiero; Aurelio Uncini; Danilo Comminiello (ICASSP, 2022)

Quaternion Anti-Transfer Learning for Speech Emotion Recognition. - Eric Guizzo; Tillman Weyde; Giacomo Tarroni; Danilo Comminiello (WASPAA, 2023)

Learning Speech Emotion Representations in the Quaternion Domain. - Eric Guizzo; Tillman Weyde; Simone Scardapane; Danilo Comminiello (IEEE ACM Trans. Audio Speech Lang. Process., 2023)