Computation and Parameter Efficient Multi-Modal Fusion Transformer for Cued Speech Recognition-Reference-Cited by-同舟云学术

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Computation and Parameter Efficient Multi-Modal Fusion Transformer for Cued Speech Recognition

Published:2024 Issue: Volume:32 Page:1559-1572
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Liu Lei¹^ORCID,Liu Li²^ORCID,Li Haizhou³^ORCID

Affiliation:

1. The Chinese University of Hong Kong, Shenzhen, China

2. The Hong Kong University of Science and Technology(Guangzhou), Guangzhou, China

3. Shenzhen Research Institute of Big Data, School of Data Science, Chinese University of Hong Kong, Shenzhen, China

Funder

National Natural Science Foundation of China

Tencent AI Lab Rhino Bird Funding

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6570655/10304349/10432942.pdf?arnumber=10432942

Reference62 articles.

1. Cued speech;Cornett;Amer. Ann. Deaf,1967

2. A Pilot Study on Mandarin Chinese Cued Speech

3. Automatic Temporal Segmentation of Hand Movements for Hand Positions Recognition in French Cued Speech

4. Continuous phoneme recognition in cued speech for french;Heracleous,2012

5. Visual Recognition of Continuous Cued Speech Using a Tandem CNN-HMM Approach

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2. Robust DOA Estimation Using Multi-Scale Fusion Network with Attention Mask;Applied Sciences;2024-05-24

3. Towards Asynchronous Multimodal Signal Interaction and Fusion via Tailored Transformers;IEEE Signal Processing Letters;2024

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