Exploring the Joint Use of Rehearsal and Knowledge Distillation in Continual Learning for Spoken Language Understanding. - Umberto Cappellazzo; Daniele Falavigna; Alessio Brutti (CoRR, 2022)

An Investigation of the Combination of Rehearsal and Knowledge Distillation in Continual Learning for Spoken Language Understanding. - Umberto Cappellazzo; Daniele Falavigna; Alessio Brutti (INTERSPEECH, 2023)

Sequence-Level Knowledge Distillation for Class-Incremental End-to-End Spoken Language Understanding. - Umberto Cappellazzo; Muqiao Yang; Daniele Falavigna; Alessio Brutti (INTERSPEECH, 2023)

Training dynamic models using early exits for automatic speech recognition on resource-constrained devices. - George August Wright; Umberto Cappellazzo; Salah Zaiem; Desh Raj; Lucas Ondel Yang; Daniele Falavigna; Alessio Brutti (CoRR, 2023)

Continual Contrastive Spoken Language Understanding. - Umberto Cappellazzo; Enrico Fini; Muqiao Yang; Daniele Falavigna; Alessio Brutti; Bhiksha Raj (ACL (Findings), 2024)

Training Early-Exit Architectures for Automatic Speech Recognition: Fine-Tuning Pre-Trained Models or Training from Scratch. - George August Wright; Umberto Cappellazzo; Salah Zaiem; Desh Raj; Lucas Ondel Yang; Daniele Falavigna; Mohamed Nabih Ali; Alessio Brutti (ICASSP Workshops, 2024)

Improving Continual Learning of Acoustic Scene Classification via Mutual Information Optimization. - Muqiao Yang; Umberto Cappellazzo; Xiang Li; Bhiksha Raj (ICASSP, 2024)

Efficient Fine-tuning of Audio Spectrogram Transformers via Soft Mixture of Adapters. - Umberto Cappellazzo; Daniele Falavigna; Alessio Brutti (INTERSPEECH, 2024)

Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers. - Umberto Cappellazzo; Daniele Falavigna; Alessio Brutti; Mirco Ravanelli (MLSP, 2024)

Evaluating and Improving Continual Learning in Spoken Language Understanding. - Muqiao Yang; Xiang Li 106; Umberto Cappellazzo; Shinji Watanabe 001; Bhiksha Raj (CoRR, 2024)

Large Language Models are Strong Audio-Visual Speech Recognition Learners. - Umberto Cappellazzo; Minsu Kim; Honglie Chen; Pingchuan Ma 001; Stavros Petridis; Daniele Falavigna; Alessio Brutti; Maja Pantic (ICASSP, 2025)

Adaptive Audio-Visual Speech Recognition via Matryoshka-Based Multimodal LLMs. - Umberto Cappellazzo; Minsu Kim; Stavros Petridis (CoRR, 2025)

Scaling and Enhancing LLM-based AVSR: A Sparse Mixture of Projectors Approach. - Umberto Cappellazzo; Minsu Kim; Stavros Petridis; Daniele Falavigna; Alessio Brutti (CoRR, 2025)