Phase Spectrum

Phase spectrum analysis focuses on recovering or enhancing the phase component of signals, particularly in audio processing, to improve speech quality and robustness. Current research emphasizes neural network-based approaches, often employing convolutional or transformer architectures, with a focus on direct phase prediction from amplitude spectra and incorporating novel loss functions to address phase wrapping and continuity issues. These advancements are improving speech enhancement, synthesis, and even data augmentation techniques for automatic speech recognition, demonstrating the significant impact of accurate phase information on various audio applications.