End-To-End Multi-Modal Speech Recognition with Air and Bone Conducted Speech
Author:
Affiliation:
1. Northwestern Polytechnical University,CIAIC, School of Marine Science and Technology,China
2. National University of Singapore & NUS Research Institute in Chongqing,School of Computing
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747306.pdf?arnumber=9747306
Reference24 articles.
1. End-To-End Audio-Visual Speech Recognition with Conformers
2. Cross-Domain Deep Visual Feature Generation for Mandarin Audio–Visual Speech Recognition
3. How to Teach DNNs to Pay Attention to the Visual Modality in Speech Recognition
4. Modality Attention for End-to-end Audio-visual Speech Recognition
5. Time-Domain Multi-Modal Bone/Air Conducted Speech Enhancement
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1. Multi-Modal Signal Fusion: Enhancing Speech Recognition in Noisy Environments;2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON);2023-12-01
2. Machine Learning Methods for Temperature Prediction of Autonomous Underwater Vehicles’ Battery Pack;Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022);2023
3. Deep learning-based DOA estimation using CRNN for underwater acoustic arrays;Frontiers in Marine Science;2022-11-10
4. A lightweight classification of adaptor proteins using transformer networks;BMC Bioinformatics;2022-11-04
5. Multi-modal speech enhancement with bone-conducted speech in time domain;Applied Acoustics;2022-11
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