IFENet combines dual-path Mamba for speech and Kolmogorov-Arnold Networks for EEG to extract the attended speaker, achieving state-of-the-art SI-SDR on the KUL and AVED datasets.
Dual-Path RNN: Efficient long sequence modeling for time-domain single-channel speech separation,
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Improved Feature Extraction Network for Neuro-Oriented Target Speaker Extraction
IFENet combines dual-path Mamba for speech and Kolmogorov-Arnold Networks for EEG to extract the attended speaker, achieving state-of-the-art SI-SDR on the KUL and AVED datasets.