Audio-Visual Speech Enhancement with Selective Off-Screen Speech Extraction
Author:
Affiliation:
1. School of Advanced Science and Engineering, Waseda University,Tokyo,Japan
2. Waseda Research Institute for Science and Engineering,Tokyo,Japan
Funder
JSPS KAKENHI
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10289698/10289713/10290081.pdf?arnumber=10290081
Reference27 articles.
1. N-HANS: A neural network-based toolkit for in-the-wild audio enhancement
2. Listen to What You Want: Neural Network-Based Universal Sound Selector
3. DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement
4. SEGAN: Speech enhancement generative adversarial network;pascual;InterSpeech,2017
5. Multi-Stage Speaker Extraction with Utterance and Frame-Level Reference Signals
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