Can AI solve every audio problem

How far we are from 1-click solution?

Author

Master Editor
January 27, 2025

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If you are familiar with recent AI hype (especially after the launch of chatGPT), AI is doing everything. We do not need to do any intellectual work!

We do not need to do any work on content creation! All we need is to type something and click, and everything will be done for us!

This post is not about how unrealistic that hype is; rather, it is about what is happening in the audio world regarding AI.

More importantly, what you need to do in this changed situation. In a broad sense, you actually do not need to adjust your learning style.

There is no AI magic on the surface level for audio editing. Everything is happening behind the scenes, and you still have to learn the basics well.

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AI can write a novel nowadays, so why can’t it make a recording suitable for voice-over or Audiobook narration with a click? After all, audio editing is a bunch of technical requirements.

Well, it can improve a voice in a click technically. There are many applications nowadays, like Adobe Podcast or Descript, where your recording will become better with a toggle button.

However, you can’t use those processed audio for professional purposes. Because either it does too much to the audio or can’t fulfill the requirements of the detail.

It can’t do this because of an infinite pattern of audio data. Everyone’s voice is different, as are noise patterns, sound reflections, talking styles, and more.

Even a person’s audio data will be completely different if he uses a different microphone. So AI isn’t advanced enough to understand everything at this moment.

To make things more complicated, sometimes noise is the desired sound in many cases. For example, you want to record a strong wind noise for a TV program.

If you train the AI to completely remove that noise every time, you can’t use it for such a program. You may suggest that an on/off button be added to enable or disable such behavior.

However, these kinds of on-and-off interactions are infinite, and the software interface will be so cluttered with options that using AI will be pointless.

Then how is AI integrated with modern software? Well, AI tries to solve one problem at a time.

For example, many noise reduction plugin now uses AI to detect and remove noise. These plugins work better than the default noise reduction effects available in a DAW (Audacity, Adobe Audition).

Some plugins try to tackle dynamics or gaps between high and low volumes. However, AI can’t understand every scenario we require, so those plugins allow some degree of configuration.

In summary, we are getting better working plugins because of AI, but you still need to learn those at a basic level.

Otherwise, they are no good to you. To teach you the basics that you need for efficient editing, I have some solutions.

If you already have these, go through them well, and I guarantee you will gain a new perspective with each iteration.