CTFT-Net jointly reconstructs magnitude and phase for speech bandwidth extension and reports lower log-spectral distance than NU-Wave, WSRGlow, NVSR, and AERO, but its own tables and core equation contain inconsistencies.
Nu-wave 2: A general neural audio up- sampling model for various sampling rates,
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A High-Fidelity Speech Super Resolution Network using a Complex Global Attention Module with Spectro-Temporal Loss
CTFT-Net jointly reconstructs magnitude and phase for speech bandwidth extension and reports lower log-spectral distance than NU-Wave, WSRGlow, NVSR, and AERO, but its own tables and core equation contain inconsistencies.