This artificial intelligence allows podcasters to simplify and optimize their post-production work process. With Resound, detecting hesitations such as “um” and prolonged silences becomes a breeze, making recordings clearer and engaging. This solution also offers features for cutting and mixing audio tracks simply by sliding the mouse, ensuring high-quality productions without background noise. Intended to automate and facilitate podcast editing, Resound is enriched by machine learning models, allowing rapid changes while maintaining total control over creative content. This is especially useful for those looking to produce professional podcasts without getting lost in technical details. By integrating Resound into their applications via the API, developers can extend these benefits of automated editing, making this tool a valuable ally in the podcasting industry.
This feature automatically identifies hesitations such as “um”, “ah” in podcasts, allowing for smoother and more professional editing. This greatly improves the quality of listening and is essential for content creators who want to present productions clear and captivating.
Detecting long and awkward silences makes it possible to shorten episodes, improve the pace, and increase the Retention auditors. It is particularly useful for podcasters seeking to optimize engagement without compromising the naturalness of the dialogues.
With a simple click and drag, this feature allows you to cut and adjust audio segments quickly. Ideal for making precise edits, reducing editing time and increasing the efficiency of process of work for all users, experienced or not.
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