Audio Editing
Audio editing research focuses on developing methods for precise and intuitive manipulation of audio content, aiming to improve both the efficiency and creative possibilities of audio production. Current efforts leverage diffusion models and other deep learning architectures, often incorporating text-based prompts or instructions to guide the editing process, with a strong emphasis on achieving high-fidelity results while preserving the original audio's integrity. This field is significant for its potential to revolutionize music production, sound design, and speech processing, offering powerful tools for both professional and amateur creators.
Papers
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