1.8k citations · 2k across the 15 of their papers we have counts for
17 papers
Scheduling Inference Workloads on Distributed Edge Clusters with Reinforcement Learning
Gabriele Castellano, Juan-José Nieto, Jordi Luque +6
Many real-time applications (e.g., Augmented/Virtual Reality, cognitive assistance) rely on Deep Neural Networks (DNNs) to process inference tasks. Edge computing is considered a k…
Iterative pseudo-forced alignment by acoustic CTC loss for self-supervised ASR domain adaptation
Fernando López, Jordi Luque
High-quality data labeling from specific domains is costly and human time-consuming. In this work, we propose a self-supervised domain adaptation method, based upon an iterative ps…
Data Augmentation for Low-Resource Quechua ASR Improvement
Rodolfo Zevallos, Nuria Bel, Guillermo Cámbara +2
Automatic Speech Recognition (ASR) is a key element in new services that helps users to interact with an automated system. Deep learning methods have made it possible to deploy sys…
Voice Quality and Pitch Features in Transformer-Based Speech Recognition
Guillermo Cámbara, Jordi Luque, Mireia Farrús
Jitter and shimmer measurements have shown to be carriers of voice quality and prosodic information which enhance the performance of tasks like speaker recognition, diarization or…
Influence of ASR and Language Model on Alzheimer's Disease Detection
Joan Codina-Filbà, Guillermo Cámbara, Jordi Luque +1
Alzheimer's Disease is the most common form of dementia. Automatic detection from speech could help to identify symptoms at early stages, so that preventive actions can be carried…
English Accent Accuracy Analysis in a State-of-the-Art Automatic Speech Recognition System
Guillermo Cámbara, Alex Peiró-Lilja, Mireia Farrús +1
Nowadays, research in speech technologies has gotten a lot out thanks to recently created public domain corpora that contain thousands of recording hours. These large amounts of da…