Umberto Cappellazzo

According to our database, Umberto Cappellazzo authored at least 13 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Scaling and Enhancing LLM-based AVSR: A Sparse Mixture of Projectors Approach.

Umberto Cappellazzo, Minsu Kim, Stavros Petridis, Daniele Falavigna, Alessio Brutti

CoRR, May, 2025

Adaptive Audio-Visual Speech Recognition via Matryoshka-Based Multimodal LLMs.

Umberto Cappellazzo, Minsu Kim, Stavros Petridis

CoRR, March, 2025

Large Language Models are Strong Audio-Visual Speech Recognition Learners.

Umberto Cappellazzo, Minsu Kim, Honglie Chen, Pingchuan Ma, Stavros Petridis, Daniele Falavigna, Alessio Brutti, Maja Pantic

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Evaluating and Improving Continual Learning in Spoken Language Understanding.

Muqiao Yang, Xiang Li, Umberto Cappellazzo, Shinji Watanabe, Bhiksha Raj

CoRR, 2024

Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers.

Umberto Cappellazzo, Daniele Falavigna, Alessio Brutti, Mirco Ravanelli

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Efficient Fine-tuning of Audio Spectrogram Transformers via Soft Mixture of Adapters.

Umberto Cappellazzo, Daniele Falavigna, Alessio Brutti

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Improving Continual Learning of Acoustic Scene Classification via Mutual Information Optimization.

Muqiao Yang, Umberto Cappellazzo, Xiang Li, Bhiksha Raj

Proceedings of the IEEE International Conference on Acoustics, 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

Proceedings of the IEEE International Conference on Acoustics, 2024

Continual Contrastive Spoken Language Understanding.

Umberto Cappellazzo, Enrico Fini, Muqiao Yang, Daniele Falavigna, Alessio Brutti, Bhiksha Raj

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

Sequence-Level Knowledge Distillation for Class-Incremental End-to-End Spoken Language Understanding.

Umberto Cappellazzo, Muqiao Yang, Daniele Falavigna, Alessio Brutti

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

An Investigation of the Combination of Rehearsal and Knowledge Distillation in Continual Learning for Spoken Language Understanding.

Umberto Cappellazzo, Daniele Falavigna, Alessio Brutti

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022

Exploring the Joint Use of Rehearsal and Knowledge Distillation in Continual Learning for Spoken Language Understanding.

Umberto Cappellazzo, Daniele Falavigna, Alessio Brutti

CoRR, 2022