CAMOES: A Comprehensive Automatic Speech Recognition Benchmark for European Portuguese
Create a new Benchmark for European Portuguese ASR.
Children's Voice Privacy: First Steps And Emerging Challenges
First paper on children's voice privacy, exploring technical challenges.
Exploring Shared-Weight Mechanisms in Transformer and Conformer Architectures for Automatic Speech Recognition
Explores different configurations of weight-sharing strategies in Transformer and Conformer architectures for ASR.
Acoustic and Linguistic Biomarkers for Cognitive Impairment Detection from Speech
Explores different combinations of acoustics and linguistics biomarkers for cognitive impairment detection.
Tackling Cognitive Impairment Detection from Speech: A submission to the PROCESS Challenge
Using knowledge based vs pre-trained embedding for pathology detection.
Towards improved automatic speech recognition for children
Thesis summary on improving ASR for children.
Improved children's automatic speech recognition combining adapters and synthetic data augmentation
Combines adapters with TTS data augmentation to improve WER.
Exploring adapters with conformers for children's automatic speech recognition
comprehensive evaluation of a adapters approach for children's ASR.
Shared-Adapters: A Novel Transformer-based Parameter Efficient Transfer Learning Approach For Children's Automatic Speech Recognition
Propose a new PEFT approach which is 12 times more parameter-efficient than regular adapters.
Introduction to partial fine-tuning: A comprehensive evaluation of end-to-end children's automatic speech recognition adaptation
Propose a new SFT approach for children's ASR.
Multilingual transfer learning for children automatic speech recognition
Multi-task training for multilingual low-resource children's ASR.
Transfer Learning-Based Cough Representations for Automatic Detection of COVID-19
Using pre-trained embeddings for COVID-19 detection.
The INESC-ID multi-modal system for the ADReSS 2020 challenge
Using speech and text pre-trained embeddings for pathological speech detection.
Pathological speech detection using x-vector embeddings
Using x-vector embeddings for pathological speech detection of different deseases.
Label-consistent sparse auto-encoders
Explore Auto-Encoder with label consistency.