AI in Audio Post Production: Revolution or Fad?

AI in audio – a lifesaver

AI today continues to amaze us with its incredible capabilities and it’s found its way into audio post-production. It can be a lifesaver when it comes to fixing audio issues. However, while AI offers remarkable solutions, it’s crucial to understand its limitations.

The technology has proven its value in repairing audio problems, whether they come from wind interference or equipment issues. It can work wonders in salvaging audio recordings that might otherwise be unusable. This ability to rescue audio makes AI an invaluable tool in the post-production process.


Yet, like any tool, AI has its drawbacks. Sometimes, the results it produces aren’t what you’re looking for. It might inadvertently alter the pitch of voices or introduce unwanted artifacts into the audio. This can be frustrating and time-consuming to fix, ultimately defeating the purpose of using AI in the first place.

The key takeaway here is to not entirely remove the human element when capturing audio at a shoot. While AI can be a powerful tool and solve problems, it shouldn’t replace good audio recording practices. Using a quality microphone (like these) and positioning it correctly can significantly reduce the need to rely on AI in post-production. Then, monitoring the audio captured on set and taking the time to address audio issues during the shoot itself will save you the headaches that come with purely relying on some magical fix later on in post production.

In conclusion, AI is undeniably a game-changer in audio post-production, capable of performing audio miracles. It’s really important to remember that it’s not a one-size-fits-all solution however. Whenever possible, prioritize proper recording techniques like these to make sure that your audio is as flawless as possible from the outset, minimizing the need for AI corrections down the line.


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