MelNet (mel-spectrogram generation)
MelNet is a deep learning model designed for generating mel-spectrograms, which are visual representations of audio signals. It utilizes a probabilistic hierarchical approach to model complex audio structures, enabling applications in speech synthesis and audio generation. MelNet advances the state of the art in audio generation by capturing long-term dependencies and rich spectral details.