Carlos Manuel Ferreira Carvalho
From HLT@INESC-ID
Carlos Carvalho's academic journey in computer science commenced at Instituto Superior Técnico, Lisbon, where he achieved his Bachelor's and Master's degrees, specializing in Artificial Intelligence. His Master's thesis pioneered state-of-the-art end-to-end automatic speech recognition for European Portuguese, advancing beyond traditional HMM-based systems. Currently, he is pursuing a PhD, deepening his research in deep learning, speech recognition, with a keen focus on deep unsupervised representation learning (self-supervised learning), domain generalization, and addressing challenges in low-resource settings.
Carlos' work is focused on deep unsupervised learning, particularly self-supervised learning, for automatic speech recognition. His work centers on representation learning, aiming to improve how systems understand and process speech. He is also interested in the application of attention and memory mechanisms in deep learning, exploring how these can enhance speech recognition systems. His research contributes to advancements in machine learning and natural language processing.
Total Publications: 3
In Proceedings (Author)
- Memory-augmented conformer for improved end-to-end long-form ASR
Carlos Manuel Ferreira Carvalho, Alberto Abad,
INTERSPEECH, pages 2218-222, ISCA, August 2023 - TRIBUS: An end-to-end automatic speech recognition system for European Portuguese
Carlos Manuel Ferreira Carvalho, Alberto Abad,
IberSPEECH 2020, March 2021
Thesis (Author)
- End-to-end automatic speech recognition in Portuguese
Carlos Manuel Ferreira Carvalho, Instituto Superior Técnico, Universidade de Lisboa, Thesis, January 2021