Zobrazeno 1 - 10
of 193
pro vyhledávání: '"Luque Jordi"'
Human language, while aimed at conveying meaning, inherently carries ambiguity. It poses challenges for speech and language processing, but also serves crucial communicative functions. Efficiently solve ambiguity is both a desired and a necessary cha
Externí odkaz:
http://arxiv.org/abs/2409.20524
Autor:
Canabal-Carbia Mónica, Sánchez-Montes Adriana R., Rodríguez Carla, Estévez Irene, Luque Jordi, Garnatje Teresa, Campos Juan, Lizana Angel
Publikováno v:
EPJ Web of Conferences, Vol 287, p 03004 (2023)
The study of the interaction of biological tissue with polarized light leads to relevant information of physical properties (dichroism, retardance and depolarization) of samples. Polarimetric analysis of different characteristics in tissues is useful
Externí odkaz:
https://doaj.org/article/db6fe52f0bed4eb79710b13b5689dddf
Voice-based interfaces rely on a wake-up word mechanism to initiate communication with devices. However, achieving a robust, energy-efficient, and fast detection remains a challenge. This paper addresses these real production needs by enhancing data
Externí odkaz:
http://arxiv.org/abs/2310.11379
Autor:
Castellano, Gabriele, Nieto, Juan-José, Luque, Jordi, Diego, Ferrán, Segura, Carlos, Perino, Diego, Esposito, Flavio, Risso, Fulvio, Raman, Aravindh
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 key infrastructure to deploy such applications, as moving computation c
Externí odkaz:
http://arxiv.org/abs/2301.13618
Autor:
López, Fernando, Luque, Jordi
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 pseudo-forced alignment algorithm. The produced alignments are employed
Externí odkaz:
http://arxiv.org/abs/2210.15226
Autor:
Calle, Alejandro, Pons-Solé, Gemma, Real, Núria, Luque, Jordi, Eduardo, Iban, Torguet, Laura, Batlle, Ignasi, Miarnau, Xavier
Publikováno v:
In Scientia Horticulturae 1 January 2025 339
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 systems with word error rates below 5% for ASR of English. However, the u
Externí odkaz:
http://arxiv.org/abs/2207.06872
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 automatic speech recognition (ASR). However, such features have been s
Externí odkaz:
http://arxiv.org/abs/2112.11391
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 out. This research is a contribution to the ADReSSo Challenge, we anal
Externí odkaz:
http://arxiv.org/abs/2110.15704
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 data are very helpful for training the new complex models based on deep
Externí odkaz:
http://arxiv.org/abs/2105.05041