arXiv.org / 2022

Dual-path Attention is All You Need for Audio-Visual Speech Extraction

Zhongweiyang Xu, Xulin Fan, M. Hasegawa-Johnson

Popular and Landmark PapersSpeech and Audio

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2 citations0 influential

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### Paper attached as context
Title: Dual-path Attention is All You Need for Audio-Visual Speech Extraction
Authors: Zhongweiyang Xu, Xulin Fan, M. Hasegawa-Johnson
Year: 2022
Venue: arXiv.org
Categories: Popular and Landmark Papers, Speech and Audio
Citations: 2
Paper URL: https://arxiv.org/abs/2207.04213
Open PDF: https://arxiv.org/pdf/2207.04213

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Learning resources:
- PDF: arXiv PDF (https://arxiv.org/pdf/2207.04213)
- arXiv: arXiv abstract page (https://arxiv.org/abs/2207.04213)
- Google Scholar: Google Scholar references (https://scholar.google.com/scholar?q=Dual-path%20Attention%20is%20All%20You%20Need%20for%20Audio-Visual%20Speech%20Extraction)
- PDF: Open access PDF (http://arxiv.org/pdf/2207.04213)
- Papers with Code: Papers with Code search (https://paperswithcode.com/search?q=Dual-path%20Attention%20is%20All%20You%20Need%20for%20Audio-Visual%20Speech%20Extraction)
- Semantic Scholar: Semantic Scholar paper page (https://www.semanticscholar.org/paper/9351c9c8fa6ade44e1f07db1467b3ce741a0f725)
- YouTube: YouTube explanations (https://www.youtube.com/results?search_query=Dual-path%20Attention%20is%20All%20You%20Need%20for%20Audio-Visual%20Speech%20Extraction+paper+explained)