rxdoc file that I used, along with the embedded audio and all stages of processing in its history.įeel free to try the various modules I’ve described, changing the settings and the order of operations to improve on my quick results. We’ll wrap up with an example of that approach.Īnd you’d like to try these techniques for yourself, here is a copy of the. Think of peeling away layers of dirt from a work of art, evaluating which tool to use at any given moment. Remember, though, that it’s sometimes better to use multiple passes of the same module with different settings, either all in a row or interleaved with other processes, to get the best result. In this article, we’ll attack the main problems one by one, and see where we end up after initial repair passes. Note that there’s no set order in which we tackle these problems, and keep in mind that the approach outlined below might not be what you choose-and that’s okay! Now, notice what we’ve done: we’ve cut up this big job of audio repair into several neat slices, each of which we can deal with separately. There’s ear-bleeding sibilance in places, the whole signal is riddled with clipping, and the underlying noise makes everything that much harder to work with. So, what does our examination of the waveform tell us? The first thing we notice is that the audio suffers from a common symptom of excessive data compression: that phasey, swishy tone that’s fatiguing and irritating. However, you don’t want to make the process an unpleasant chore-the more problems you can identify and fix, the happier your audience (and your client) will be. Fortunately, your greatest ally is your audience! The human ear and brain are designed to interpret voices perhaps more finely than any other sound source listeners can often pick out what’s being said, even on truly terrible recordings. Remember that pristine audio quality isn’t always an attainable goal, especially if you’re working to a tight deadline. The first thing to do is to understand what’s wrong: by examining the waveform and listening carefully to the artifacts that make it unpleasant to listen to, we can identify problems and implement solutions. Where do we even start with something like this? It may seem overwhelming at first. To find solutions, first understand the problems
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