Dialogue Repair: 6 Problems You Thought You Couldn't Fix Nov 12, 2019. Some dialogue problems can’t be fixed. Distortion, errant sirens, wind gumming the microphones—it’s impossible. The truth is, with iZotope RX, you can fix all sorts of previously impossible problems. Here are six tips to get you out of a dialogue bind.
How To Fix Crackly Dialogue In Izotope Rx 4
RX 7 provides exceedingly useful tools for post production, and many are easy to implement. But we all have to start somewhere, and for those diving into the post game for the first time, any audio-repairing software can be intimidating. Even for experienced hands, it can be hard to know when to edit dialogue anyway—and how to do it.
What follows are some examples of how I use RX 7 everyday. Read on if you want to see some real-world implementations of this powerful processor.
1. Dialogue Contour for finishing a sentence
While working on a podcast, I was given a transcript of the relevant audio, and a bunch of raw interviews from which to pull quotes. Many of the quotes were finished sentences—statements where the person had clearly finished their thought with a period, full stop, end-of-story cadence.
Or so it appeared in the written transcript. The audio, however, told a different story: the person had more to say, hastily jumping into their next thought. This “next thought” wasn’t germane to the original point at all—hence the cut in the script—but human beings aren’t tidy machines. They don’t speak in the same way as writers write. Run-on-sentences are par for the course.
This can sometimes be frustrating for audio editors, for if a person jumps too quickly between one thought and another, you’re left with a most unnatural edit point. That’s what happened on this podcast. I found myself with sentences that just didn’t end clearly.
The solution
Dialogue Contour came to the rescue many times in this project. Using the module, I was able to close the sentence in a natural way. The operation was simple—I isolated the phrase, clicked in a node at the end of the phrase, and subtly brought the pitch down.
Overview
Dialogue Isolate is designed to separate spoken dialogue from non-stationary background noise such as crowds, traffic, footsteps, weather, or other noise with highly variable characteristics. It can be particularly effective at increasing the level of dialogue in challenging low signal to noise ratio conditions.
Machine learning in Dialogue Isolate
Dialogue Isolate uses a deep neural network, which was trained on large amounts of speech and noise data to automatically recognize the percentage of speech in every time-frequency bin of the spectrogram. Once trained, the neural network processes the incoming audio into separated speech and noise components with independently controllable levels.
Controls
How To Fix Crackly Dialogue In Izotope Rx 2![]() How To Fix Crackly Dialogue In Izotope Rx 6AlternativesHow To Fix Crackly Dialogue In Izotope Rx 7
For stationary noise, such as hiss, buzz, line noise, etc., Dialogue Isolate may produce satisfactory results, but we also suggest trying the Spectral De-noise module in these situations.
Comments are closed.
|
AuthorWrite something about yourself. No need to be fancy, just an overview. Archives
December 2020
Categories |