Spectrogram Inversion

Spectrogram inversion aims to reconstruct a time-domain audio signal from its spectrogram representation, a crucial step in various audio processing tasks like source separation and enhancement. Current research focuses on improving inversion algorithms, including iterative methods like Griffin-Lim and generative models such as MelGAN, often incorporating constraints to enhance the quality and realism of the reconstructed audio. These advancements are driving progress in real-time applications, particularly on resource-constrained devices like mobile phones, and improving the performance of audio processing systems in areas such as speech enhancement and music restoration.