Audio Sample

Audio sample research focuses on generating, manipulating, and analyzing audio signals, primarily aiming to improve the quality, diversity, and controllability of synthetic audio. Current research heavily utilizes diffusion models, transformers, and normalizing flows, often within a framework of generative adversarial networks or autoencoders, to achieve tasks such as text-to-speech synthesis, voice conversion, and sound separation. These advancements have significant implications for various fields, including music production, speech technology, and audio forensics, by enabling more realistic and efficient audio generation and manipulation.