Research output per year
Research output per year
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Dive into the research topics where Riccardo Miccini is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Publications
- 5 Article in proceedings
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Scalable Speech Enhancement with Dynamic Channel Pruning
Miccini, R., Laroche, C., Piechowiak, T. & Pezzarossa, L., 2025, (Accepted/In press) Proceedings of the 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025). IEEE, 5 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile10 Downloads (Orbit) -
NeuralCasting: A Front-End Compilation Infrastructure for Neural Networks
Cerioli, A., Miccini, R., Laroche, C., Piechowiak, T., Pezzarossa, L., Sparsø, J. & Schoeberl, M., 2024, Proceedings of the 2024 11th International Conference on Internet of Things: Systems, Management and Security (IOTSMS). IEEE, p. 161-168 (2024 11th International Conference on Internet of Things: Systems, Management and Security, Iotsms 2024).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Resource-Efficient Speech Quality Prediction through Quantization Aware Training and Binary Activation Maps
Nilsson, M., Miccini, R., Laroche, C., Piechowiak, T. & Zenke, F., 2024, Proceedings of the Interspeech 2024. ISCA, p. 2975-2979Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile8 Downloads (Orbit) -
Towards a tailored mixed-precision sub-8-bit quantization scheme for Gated Recurrent Units using Genetic Algorithms
Miccini, R., Cerioli, A., Laroche, C., Piechowiak, T., Sparsø, J. & Pezzarossa, L., 2024, Proceedings of tinyML Research Symposium'24. 7 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile31 Downloads (Orbit) -
Dynamic nsNET2: Efficient Deep Noise Suppression with Early Exiting
Miccini, R., Zniber, A., Laroche, C., Piechowiak, T., Schoeberl, M., Pezzarossa, L., Karrakchou, O., Sparsø, J. & Ghogho, M., 2023, Proceedings of the 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile85 Downloads (Orbit)
Projects
- 1 Active
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Mapping high-level AI applications to artificial or spiking neural network architectures
Miccini, R. (PhD Student), Piechowiak, T. (Supervisor), Fafoutis, X. (Supervisor), Pezzarossa, L. (Main Supervisor), Sparsø, J. (Supervisor) & Laroche, C. (Supervisor)
15/02/2023 → 14/02/2026
Project: PhD