12/27/2023 0 Comments Clickrepair flash lp![]() When the noise is not masked, it will be audible “through” the retained sound. Sounds that have a significant amount of “breathyness” will cover up (mask) low level hiss much better than say low piano notes. Some sounds “mask” noise better than others. Usually I leave this at the default 0.0 dB. The “Sensitivity” control is interesting, but a bit tricky to use effectively. I generally like to increase the “Frequency Smoothing” a bit too - typically around 500 Hz, but for critical work it’s best to experiment for optimum settings. Setting the “Noise Reduction (dB)” to about -12 will still have an appreciable effect on low level noise, but will produce much lower tinkly artefacts than the default settings. The default settings in Noise Removal are a bit too aggressive for my liking, but many users require the settings to be quite aggressive so as to have some impact on bad recordings. (setf fade-env (pwlv 1 0.05 0 0.95 0 1 1))))Īnother approach, specifically for clicks during “silence” is to patch over the click with a bit of “room tone”, which we discussed in these topics: ![]() (setf frq-env (sum lowf (mult sine (- nyqf lowf)))) (setf sine (osc (hz-to-step (/ (get-duration 1))) one cycle of a sine wave the same duration as the selection. (setq lowf 2000) lowest frequency of the the sweep (setq nyqf (/ *sound-srate* 2)) Nyquist frequency It is not sufficient to just set the start and end at zero crossing points.Ĭommented example: sweep filter frequency range in Hz One approach is to use a low pass filter, but in order to avoid creating clicks at the start/end of the repair it is necessary to have a short transition period between the original and the repaired section. There are several easy techniques for reducing mouth smack (and other) clicks. Can your phoneme analyser help with that? Speech segmentation (not recognition!) I think that identifying the clicks would be the hardest part. Problems would be first identifying clicks, which are typically 5ms or less, and then repairing them. It will try to remove the profile sound from the show. Then run the tool again and apply it to the show. In essence, letting the tool “taste” the problem. Select some of the offending noise and use that as the profile step. If you’re not familiar with Noise Removal, it works in two steps. It’s also possible that it will destroy the show. It’s remotely possible that if you play your cards right and the moons and starts line up, most of the worst of the staccato clicks can be made to soften with the second application of Noise Reduction. ![]() Be absolutely certain not to include any valuable voice in this clip. Save your clicks in a file and use that as the Noise Removal Profile step. I think he just threw in the towel and put up with the clicks. There was another presenter a while ago with this problem. Whatever you put back has to be not worse than the original problem. As you found out, you can’t just slice out the offending sounds, you have to put something back in order to maintain the length of the performance. In general, if you didn’t start out being a presenter/announcer, it’s rough to get there with filters, effects and editorial.
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