Umberto Cappellazzo

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authored a paper 19 days ago

MoME: Mixture of Matryoshka Experts for Audio-Visual Speech Recognition

Paper • 2510.04136 • Published 21 days ago • 3

authored a paper 5 months ago

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

Paper • 2505.14336 • Published May 20 • 3

authored a paper 8 months ago

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

Paper • 2503.06362 • Published Mar 9 • 3

authored a paper about 1 year ago

Large Language Models Are Strong Audio-Visual Speech Recognition Learners

Paper • 2409.12319 • Published Sep 18, 2024

authored 4 papers over 1 year ago

Training dynamic models using early exits for automatic speech recognition on resource-constrained devices

Paper • 2309.09546 • Published Sep 18, 2023 • 1

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

Paper • 2211.08161 • Published Nov 15, 2022

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

Paper • 2305.13899 • Published May 23, 2023

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

Paper • 2402.00828 • Published Feb 1, 2024

authored a paper almost 2 years ago

Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers

Paper • 2312.03694 • Published Dec 6, 2023 • 2

authored a paper about 2 years ago

Continual Contrastive Spoken Language Understanding

Paper • 2310.02699 • Published Oct 4, 2023