Riccardo Miccini

15 papers A 2Misc 1Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
From Diet to Free Lunch: Estimating Auxiliary Signal Properties using Dynamic Pruning Masks in Speech Enhancement Networks.
CoRR
Riccardo Miccini, Clément Laroche, Tobias Piechowiak, Xenofon Fafoutis, Luca Pezzarossa
2025 — conf
Adaptive Slimming for Scalable and Efficient Speech Enhancement.
WASPAA
Riccardo Miccini, Minje Kim, Clément Laroche, Luca Pezzarossa, Paris Smaragdis
2025 J jnl
Adaptive Slimming for Scalable and Efficient Speech Enhancement.
CoRR
Riccardo Miccini, Minje Kim, Clément Laroche, Luca Pezzarossa, Paris Smaragdis
2025 A conf
Efficient Streaming Speech Quality Prediction with Spiking Neural Networks.
INTERSPEECH
Mattias Nilsson, Riccardo Miccini, Julian Rossbroich, Clément Laroche, Tobias Piechowiak, Friedemann Zenke
2025 Misc conf
Scalable Speech Enhancement With Dynamic Channel Pruning.
ICASSP
Riccardo Miccini, Clément Laroche, Tobias Piechowiak, Luca Pezzarossa
2024 — conf
NeuralCasting: A Front-End Compilation Infrastructure for Neural Networks.
IOTSMS
Alessandro Cerioli, Riccardo Miccini, Clément Laroche, Tobias Piechowiak, Luca Pezzarossa, Jens Sparsø, Martin Schoeberl
2024 A conf
Resource-Efficient Speech Quality Prediction through Quantization Aware Training and Binary Activation Maps.
INTERSPEECH
Mattias Nilsson, Riccardo Miccini, Clement Laroche, Tobias Piechowiak, Friedemann Zenke
2024 J jnl
Resource-Efficient Speech Quality Prediction through Quantization Aware Training and Binary Activation Maps.
CoRR
Mattias Nilsson, Riccardo Miccini, Clément Laroche, Tobias Piechowiak, Friedemann Zenke
2024 J jnl
Scalable Speech Enhancement with Dynamic Channel Pruning.
CoRR
Riccardo Miccini, Clement Laroche, Tobias Piechowiak, Luca Pezzarossa
2024 J jnl
Towards a tailored mixed-precision sub-8-bit quantization scheme for Gated Recurrent Units using Genetic Algorithms.
CoRR
Riccardo Miccini, Alessandro Cerioli, Clément Laroche, Tobias Piechowiak, Jens Sparsø, Luca Pezzarossa
2023 — conf
Dynamic nsNET2: Efficient Deep Noise Suppression with Early Exiting.
MLSP
Riccardo Miccini, Alaa Zniber, Clément Laroche, Tobias Piechowiak, Martin Schoeberl, Luca Pezzarossa, Ouassim Karrakchou, Jens Sparsø, Mounir Ghogho
2023 J jnl
Dynamic nsNet2: Efficient Deep Noise Suppression with Early Exiting.
CoRR
Riccardo Miccini, Alaa Zniber, Clément Laroche, Tobias Piechowiak, Martin Schoeberl, Luca Pezzarossa, Ouassim Karrakchou, Jens Sparsø, Mounir Ghogho
2021 — conf
A hybrid approach to structural modeling of individualized HRTFs.
VR Workshops
Riccardo Miccini, Simone Spagnol
2021 J jnl
Estimation of Spectral Notches From Pinna Meshes: Insights From a Simple Computational Model.
IEEE ACM Trans. Audio Speech Lang. Process.
Simone Spagnol, Riccardo Miccini, Marius George Onofrei, Runar Unnthorsson, Stefania Serafin
2020 — conf
HRTF Individualization using Deep Learning.
VR Workshops
Riccardo Miccini, Simone Spagnol