In this project, the aim was to enhance the quality of an audio clip featuring Vinod Chanda from the show Pantheon, recorded during the COVID-19 pandemic when voice actors faced limitations due to quarantine. To address the challenge of improving the dialogue’s quality, a possible approach utilizing AI-based voice conversion was explored. By isolating Chanda’s dialogues from the first episode and employing voice cloning technology, a model of the actor’s voice was created using retrieval-based voice conversion (RVC). The model was then utilized to convert the initial audio into an enhanced version, effectively restoring the dialogue’s quality. While there are limitations to the method, such as challenges in capturing all nuances of the original voice and handling multiple voices simultaneously, this approach holds promise for restoring old or poorly recorded audio. The possibilities for applying this technique extend to various media forms, sparking potential future developments in audio restoration for movies and other creative projects.
(Summarized by ChatGPT)
