Multistream Neural Architectures for Cued Speech Recognition Using a Pre-Trained Visual Feature Extractor and Constrained CTC Decoding
Author:
Affiliation:
1. Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab,Grenoble,France,38000
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746976.pdf?arnumber=9746976
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1. A novel framework using 3D-CNN and BiLSTM model with dynamic learning rate scheduler for visual speech recognition;Signal, Image and Video Processing;2024-05-18
2. Computation and Parameter Efficient Multi-Modal Fusion Transformer for Cued Speech Recognition;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024
3. Cuing Without Sharing: A Federated Cued Speech Recognition Framework via Mutual Knowledge Distillation;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26
4. Cross-Modal Mutual Learning for Cued Speech Recognition;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
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