HRTF Individualization using Deep Learning. - Riccardo Miccini; Simone Spagnol (VR Workshops, 2020)

A hybrid approach to structural modeling of individualized HRTFs. - Riccardo Miccini; Simone Spagnol (VR Workshops, 2021)

Estimation of Spectral Notches From Pinna Meshes: Insights From a Simple Computational Model. - Simone Spagnol; Riccardo Miccini; Marius George Onofrei; Runar Unnthorsson; Stefania Serafin (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Dynamic nsNET2: Efficient Deep Noise Suppression with Early Exiting. - Riccardo Miccini; Alaa Zniber; Clément Laroche; Tobias Piechowiak; Martin Schoeberl; Luca Pezzarossa; Ouassim Karrakchou; Jens Sparsø; Mounir Ghogho (MLSP, 2023)

Resource-Efficient Speech Quality Prediction through Quantization Aware Training and Binary Activation Maps. - Mattias Nilsson; Riccardo Miccini; Clement Laroche; Tobias Piechowiak; Friedemann Zenke (INTERSPEECH, 2024)

NeuralCasting: A Front-End Compilation Infrastructure for Neural Networks. - Alessandro Cerioli; Riccardo Miccini; Clément Laroche; Tobias Piechowiak; Luca Pezzarossa; Jens Sparsø; Martin Schoeberl (IOTSMS, 2024)

Towards a tailored mixed-precision sub-8-bit quantization scheme for Gated Recurrent Units using Genetic Algorithms. - Riccardo Miccini; Alessandro Cerioli; Clément Laroche; Tobias Piechowiak; Jens Sparsø; Luca Pezzarossa (CoRR, 2024)

Scalable Speech Enhancement With Dynamic Channel Pruning. - Riccardo Miccini; Clément Laroche; Tobias Piechowiak; Luca Pezzarossa (ICASSP, 2025)

Adaptive Slimming for Scalable and Efficient Speech Enhancement. - Riccardo Miccini; Minje Kim; Clément Laroche; Luca Pezzarossa; Paris Smaragdis (CoRR, 2025)