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Vocal Rescue

Easily leverage the power of AI to remove background noise from vocal recordings.

In today's world, we're generating media faster than ever before. Whether you're a media professional or just a novice, with the ubiquity of recording devices today we are capturing audio in all sorts of noisy environments. Today's microphones are sensitive and it's very easy for your voice to get lost among the background noise. Sometimes you may not even realize that background noise will be an issue while you record, or an unexpected noise begins during your recording session. Thankfully, there are many AI algorithms that can help in this regard. While there are plenty of software tools available to clean up live recordings as they happen, very few tools exist to leverage the same algorithms in post-production, on clips or files that are already recorded.

Among the best vocal recovery algorithms is RTX Voice by Nvidia. By default, Vocal Rescue will utilize this algorithm to remove:

  • AC noise

  • PC noise

  • Babble / crowd noise

  • Chatter from other people

  • Keyboard

  • Fan noise

  • Sirens

  • Clapping

  • Tapping

  • Sounds of furniture moving

  • Sounds of glass breaking

  • Traffic noise

  • Mouse clicks

  • Sounds of a train passing by

  • Sounds of a vacuum cleaner

  • Washing machine

  • Metal sounds

  • Baby crying

  • Wrappers (plastic / non- plastic rustling)

  • Water taps / running water

  • Cooking sounds (cutting, cooker, etc)

  • Construction site sounds

  • Rains

  • Pet sounds

  • Drums

  • Door slamming

  • Bird chirping

  • Phone ringing

This algorithm can also de-reverb your audio, so if you recorded it in an environment where you experience reverb/echos those will be cleaned up as well. The catch? This algorithm requires an NVIDIA RTX graphics card.

If your system does not have an NVIDIA RTX GPU, however, all is not lost! Vocal Rescue will then use the RNNoise algorithm, which can rescue your audio from many of the same afflictions listed above. From my internal testing, the NVIDIA algorithm is superior to RNNoise in terms of cleanup, features and quality. But it requires an expensive graphics card and more processing time to execute. RNNoise is lean, fast and does a perfectly adequate job for most recording situations.

Here's the Vocal Rescue interface. Drag in a file or a group of files, choose which algorithm to use from the dropdown list, and feel free to preview your work. When you're ready, click "Start Rescue" and your entire batch of files will be processed.

Here's a sample of Vocal Rescue in action:

This software is perfect for:

  • Broadcast professionals working in the field

  • Broadcast professionals working from home

  • Content creators

  • Vocalists or voiceover artists recording without a sound-treated studio

  • Anyone who would like their recordings to sound better!


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