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Found 3 papers, 1 papers with code
Harmonic enhancement using learnable comb filter for light-weight full-band speech enhancement model
With fewer feature dimensions, filter banks are often used in light-weight full-band speech enhancement models.
Personalized speech enhancement combining band-split RNN and speaker attentive module
Target speaker information can be utilized in speech enhancement (SE) models to more effectively extract the desired speech.
A light-weight full-band speech enhancement model
Deep neural network based full-band speech enhancement systems face challenges of high demand of computational resources and imbalanced frequency distribution.
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