The Ventriloquist Effect is not Consistently Affected by Stimulus Realism†. - Thirsa Huisman; Torsten Dau; Tobias Piechowiak; Ewen N. MacDonald (J. Percept. Imaging, 2022)

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)

Comparing neural network architectures for non-intrusive speech quality prediction. - Leif Førland Schill; Tobias Piechowiak; Clément Laroche; Pejman Mowlaee (Speech Commun., 2024)

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

Neural Architecture Search for Efficient Mixed-Precision Quantization in Audio Denoising. - Alessandro Cerioli; Clément Laroche; Tobias Piechowiak; Luca Pezzarossa; Martin Schoeberl (PerCom Workshops, 2025)

Efficient Detection of Microplastics on Edge Devices With Tailored Compiler for TinyML Applications. - Alessandro Cerioli; Lorenzo Petrosino; Daniele Sasso; Clément Laroche; Tobias Piechowiak; Luca Pezzarossa; Mario Merone; Luca Vollero; Anna Sabatini (IEEE Access, 2025)