Publications

Journal

1. “Open-Source Conversational AI with SpeechBrain 1.0”, Journal of Machine Learning Research 2024, Mirco Ravanelli, Titouan Parcollet, Adel Moumen, Sylvain de Langen, Cem Subakan, Peter Plantinga, Yingzhi Wang, Pooneh Mousavi, Luca Della Libera, Artem Ploujnikov, Francesco Paissan, Davide Borra, Salah Zaiem, Zeyu Zhao, Shucong Zhang, Georgios Karakasidis, Sung-Lin Yeh, Aku Rouhe, Rudolf Braun, Florian Mai, Juan Zuluaga-Gomez, Seyed Mahed Mousavi, Andreas Nautsch, Xuechen Liu, Sangeet Sagar, Jarod Duret, Salima Mdhaffar, Gaelle Laperriere, Renato De Mori, Yannick Esteve

2. “SpeechBrain-MOABB: An open-source Python library for benchmarking deep neural networks applied to EEG signals”, Computers in Medicine and Biology, 2024, Davide Borra, Francesco Paissan, Mirco Ravanelli

3. “HDR vision sensor with neuro-memristive skin detection for edge computing”, Journal of the Optical Society of America A, 2024, Francesco Paissan, Michela Lecca, Roberto Passerone, Elisabetta Farella, Massimo Gottardi

4. “XimSwap: many-to-many face swapping for TinyML”, ACM Transactions on Embedded Computing Systems, 2024, Alberto Ancilotto, Francesco Paissan, Elisabetta Farella

5. “The Front-End electronics for the liquid Argon instrumentation of the LEGEND-200 experiment”, Journal of Instrumentation, 2023, Igor Abritta Costa, Antonio Budano, Nina Burlac, Francesco Paissan, Giuseppe Salamanna, Diego Tagnani

6. “PhiNets: a scalable backbone for low-power AI at the edge”, ACM Transactions on Embedded Computing Systems, 2022, Francesco Paissan, Alberto Ancilotto, Elisabetta Farella

Conference

1. “Listenable Maps for Zero-Shot Audio Classifiers” 2024 Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), Francesco Paissan, Luca Della Libera, Mirco Ravanelli, Cem Subakan

2. “tinyCLAP: Distilling Constrastive Language-Audio Pretrained Models”, 2024 Interspeech Francesco Paissan, Elisabetta Farella

3. “Audio Editing with Non-Rigid Text Prompts”, 2024 Interspeech Francesco Paissan, Luca Della Libera, Zhepei Wang, Mirco Ravanelli, Paris Smaragdis, Cem Subakan

4. “Listenable Maps for Audio Classifiers”, 2024 International Conference of Machine Leaning (Oral), Francesco Paissan, Mirco Ravanelli, Cem Subakan

5. “XiNet: Efficient Neural Networks for tinyML”, 2023 IEEE/CVF International Conference on Computer Vision, Alberto Ancilotto, Francesco Paissan, Elisabetta Farella

6. “Optimizing phinet architectures for the detection of urban sounds on low-end devices”, 2022 30th European Signal Processing Conference, Alessio Brutti, Francesco Paissan, Alberto Ancilotto, Elisabetta Farella

7. “Scalable neural architectures for end-to-end environmental sound classification”, 2022 IEEE International Conference on Acoustics, Speech and Signal Processing, Francesco Paissan, Alberto Ancilotto, Elisabetta Farella

8. “Marvel: Multimodal extreme scale data analytics for smart cities environments”, 2021 International Balkan Conference on Communications and Networking, Dragana Bajovic, Arian Bakhtiarnia, George Bravos, Alessio Brutti, Felix Burkhardt, Daniel Cauchi, Antony Chazapis, Claire Cianco, Nicola Dall’Asen, Vlado Delic, Christos Dimou, Djordje Djokic, Antonio Escobar-Molero, Lukas Esterle, Florian Eyben, Elisabetta Farella, Thomas Festi, Artemios Geromitsos, Giannis Giakoumakis, George Hatzivasilis, Sotiris Ioannidis, Alexandros Iosifidis, Theodora Kallipolitou, Grigorios Kalogiannis, Akrivi Kiousi, Despina Kopanaki, Manolis Marazakis, Stella Markopoulou, Adrian Muscat, Francesco Paissan, Tomás Pariente Lobo, Dusan Pavlovic, Theofanis P Raptis, Elisa Ricci, Borja Saez, Farhan Sahito, Kenneth Scerri, Björn Schuller, Nikola Simic, George Spanoudakis, Alex Tomasi, Andreas Triantafyllopoulos, Lorenzo Valerio, Javier Villazán, Yiming Wang, André Xuereb, Johan Zammit

Workshop

1. “tinyVocos: Neural Vocoders on MCUs”, 2024 5th IEEE International Symposium on the Internet of Sounds, Stefano Ciapponi, Francesco Paissan, Alberto Ancilotto, Elisabetta Farella

2. “Latent Distillation for Continual Object Detection at the Edge”, 2024 Computational Aspects of Deep Learning Workshop @ ECCV, Francesco Pasti, Marina Ceccon, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto, Nicola Bellotto

3. “Structured Sparse Back-propagation for Lightweight On-Device Continual Learning on Microcontroller Units”, 2024 Embedded Vision Workshop @ CVPR, Francesco Paissan, Davide Nadalini, Manuele Rusci, Alberto Ancilotto, Francesco Conti, Luca Benini, Elisabetta Farella

4. “An empirical evaluation of tinyML architectures for Class-Incremental Continual Learning”, 2024 IEEE International Conference on Pervasive Computing and Communications Workshops, Matteo Tremonti, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto

5. “Improving latency performance trade-off in keyword spotting applications at the edge”, 2023 9th International Workshop on Advances in Sensors and Interfaces, Francesco Paissan, Anisha M Sahabdeen, Alberto Ancilotto, Elisabetta Farella

6. “PhiNet-GAN: Bringing real-time face swapping to embedded devices”, 2023 IEEE International Conference on Pervasive Computing and Communications, Alberto Ancilotto, Francesco Paissan, Elisabetta Farella

7. “Interpretable CNN for single-channel artifacts detection in raw EEG signals”, 2022 IEEE Sensors Applications Symposium, Francesco Paissan, Velu Kumaravel, Elisabetta Farella

8. “On the role of smart vision sensors in energy-efficient computer vision at the edge”, 2022 IEEE International Conference on Pervasive Computing and Communications, Alberto Ancilotto, Francesco Paissan, Elisabetta Farella

9. “Responsible AI at the edge: towards privacy-preserving smart cities”, Local italian Workshop, Luca Zanella, Yiming Wang, Nicola Dall’Asen, Alberto Ancilotto, Francesco Paissan, Elisa Ricci, Elisabetta Farella, Alessio Brutti, Marco Pistore

10. “Towards a domain-specific neural network approach for EEG bad channel detection”, 2021 IEEE Signal Processing in Medicine and Biology Symposium, Velu Kumaravel, Francesco Paissan, Elisabetta Farella

11. “Enabling energy efficient machine learning on a ultra-low-power vision sensor for iot” Francesco Paissan, Massimo Gottardi, Elisabetta Farella

Preprints

1. “Investigating the Effectiveness of Explainability Methods in Parkinson’s Detection from Speech” Eleonora Mancini, Francesco Paissan, Paolo Torroni, Mirco Ravanelli, Cem Subakan

2. “LMAC-TD: Producing Time Domain Explanations for Audio Classifiers” Eleonora Mancini, Francesco Paissan, Mirco Ravanelli, Cem Subakan

3. “Replay Consolidation with Label Propagation for Continual Object Detection” Riccardo De Monte, Davide Dalle Pezze, Marina Ceccon, Francesco Pasti, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto, Nicola Bellotto

4. “Posthoc interpretation via quantization” Francesco Paissan, Cem Subakan, Mirco Ravanelli

5. “Scaling strategies for on-device low-complexity source separation with conv-tasnet” Mohamed Nabih Ali, Francesco Paissan, Daniele Falavigna, Alessio Brutti

6. “Low-complexity acoustic scene classification in dcase 2022 challenge” Irene Martin Morato, Francesco Paissan, Alberto Ancilotto, Toni Heittola, Annamaria Mesaros, Elisabetta Farella, Alessio Brutti, Tuomas Virtanen