Light-Weight Visualvoice: Neural Network Quantization On Audio Visual Speech Separation-Reference-Cited by-同舟云学术

Light-Weight Visualvoice: Neural Network Quantization On Audio Visual Speech Separation

Published:2023-06-04 Issue: Volume: Page:
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Container-title:2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)
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Author:

Wu Yifei¹,Li Chenda¹,Qian Yanmin¹

Affiliation:

1. Shanghai Jiao Tong University,MoE Key Lab of Artificial Intelligence, AI Institute X-LANCE Lab,Department of Computer Science and Engineering,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10192576/10192577/10193263.pdf?arnumber=10193263

Reference32 articles.

1. Looking to listen at the cocktail party

2. The Conversation: Deep Audio-Visual Speech Enhancement

3. Deep Audio-Visual Speech Separation with Attention Mechanism

4. Listen, Watch and Understand at the Cocktail Party: Audio-Visual-Contextual Speech Separation

5. Looking into Your Speech: Learning Cross-modal Affinity for Audio-visual Speech Separation

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4. Fully Quantized Neural Networks for Audio Source Separation;IEEE Open Journal of Signal Processing;2024

5. A Survey of Audio Enhancement Algorithms for Music, Speech, Bioacoustics, Biomedical, Industrial, and Environmental Sounds by Image U-Net;IEEE Access;2023