Tobias Piechowiak

15 papers A 2C 1Misc 1Journal 8Unranked 3
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 J jnl
Efficient Detection of Microplastics on Edge Devices With Tailored Compiler for TinyML Applications.
IEEE Access
Alessandro Cerioli, Lorenzo Petrosino, Daniele Sasso, Clément Laroche, Tobias Piechowiak, Luca Pezzarossa, Mario Merone, Luca Vollero, Anna Sabatini
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 — conf
Neural Architecture Search for Efficient Mixed-Precision Quantization in Audio Denoising.
PerCom Workshops
Alessandro Cerioli, Clément Laroche, Tobias Piechowiak, Luca Pezzarossa, Martin Schoeberl
2025 Misc conf
Scalable Speech Enhancement With Dynamic Channel Pruning.
ICASSP
Riccardo Miccini, Clément Laroche, Tobias Piechowiak, Luca Pezzarossa
2025 C conf
Time-Predictable Deep Noise Suppression on an Edge Device.
ISORC
Alessandro Cerioli, Tórur Biskopstø Strøm, Clément Laroche, Tobias Piechowiak, Luca Pezzarossa, Martin Schoeberl
2024 J jnl
Comparing neural network architectures for non-intrusive speech quality prediction.
Speech Commun.
Leif Førland Schill, Tobias Piechowiak, Clément Laroche, Pejman Mowlaee
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
2022 J jnl
The Ventriloquist Effect is not Consistently Affected by Stimulus Realism
J. Percept. Imaging
Thirsa Huisman, Torsten Dau, Tobias Piechowiak, Ewen N. MacDonald