Adriana Fernandez-Lopez

Orcid: 0000-0001-8839-6537

According to our database1, Adriana Fernandez-Lopez authored at least 12 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Dynamic Data Pruning for Automatic Speech Recognition.
CoRR, 2024

MSRS: Training Multimodal Speech Recognition Models from Scratch with Sparse Mask Optimization.
CoRR, 2024

2023
SparseVSR: Lightweight and Noise Robust Visual Speech Recognition.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Auto-AVSR: Audio-Visual Speech Recognition with Automatic Labels.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
End-to-End Lip-Reading Without Large-Scale Data.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

2021
Learning of meaningful visual representations for continuous lip-reading.
PhD thesis, 2021

2020
Cogans For Unsupervised Visual Speech Adaptation To New Speakers.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Lip-Reading with Limited-Data Network.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Survey on automatic lip-reading in the era of deep learning.
Image Vis. Comput., 2018

2017
Automatic Viseme Vocabulary Construction to Enhance Continuous Lip-reading.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017

Optimizing Phoneme-to-Viseme Mapping for Continuous Lip-Reading in Spanish.
Proceedings of the Computer Vision, Imaging and Computer Graphics - Theory and Applications, 2017

Towards Estimating the Upper Bound of Visual-Speech Recognition: The Visual Lip-Reading Feasibility Database.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017


  Loading...