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аналитика - RTFS-Net Methodology
RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation
Efficiently integrating time and frequency dimensions in audio-visual speech separation improves performance while reducing computational complexity.
RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation at ICLR 2024
RTFS-Net introduces a novel time-frequency domain audio-visual speech separation method that outperforms existing models in both efficiency and quality.
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