Scenario-Aware Audio-Visual TF-Gridnet for Target Speech Extraction-Reference-Cited by-同舟云学术

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Scenario-Aware Audio-Visual TF-Gridnet for Target Speech Extraction

Published:2023-12-16 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
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Author:

Pan Zexu¹,Wichern Gordon¹,Masuyama Yoshiki¹,Germain François G.¹,Khurana Sameer¹,Hori Chiori¹,Roux Jonathan Le¹

Affiliation:

1. Mitsubishi Electric Research Laboratories (MERL),Cambridge,MA,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10388490/10389614/10389618.pdf?arnumber=10389618

Reference51 articles.

1. Multi-Modal Attention for Speech Emotion Recognition

2. X-Vectors: Robust DNN Embeddings for Speaker Recognition

3. Multi-Target DoA Estimation with an Audio-Visual Fusion Mechanism

4. Predict-and-Update network: Audio-visual speech recognition inspired by human speech perception;Wang;arXiv preprint arXiv:2209.01768,2022

5. Is someone speaking? Exploring long-term temporal features for audio-visual active speaker detection;Tao

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SIR-Progressive Audio-Visual TF-Gridnet with ASR-Aware Selector for Target Speaker Extraction in MISP 2023 Challenge;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14

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