You may have heard of machine learning but not exactly understood what the term means, or how we use it in our everyday lives. Machine learning refers to a class of algorithms that discover patterns in data and use those discovered patterns to make predictions when presented with new data. Some of the most familiar applications of machine learning are speech recognition (Siri, Amazon Alexa), where algorithms transcribe the words we speak, or image recognition where algorithms automatically label items, places, and faces in images (think of how Facebook accurately suggests people to tag in uploaded photos, and how your email can automatically recognize spam).
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Machine learning is also starting to allow for innovations in the audio industry. At iZotope some of our previous machine learning applications were to automatically identify instruments as part of the Neutron Track Assistant feature, and to automatically detect song structure (i.e., verse/chorus) for improved waveform navigation in the Ozone standalone application.
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Standalone Workflow:
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- Open the audio file in the RX Audio Editor or send it via RX Connect (or open De-reverb as an offline plug-in in your DAW or NLE).
- Open the De-reverb module [Shift + 8].
- Select 5–10 seconds of audio that begins with a direct sound and contains segments of both the direct sound and the reverberant tail (the sample audio file used above would be a perfect example).
- Click Learn inside the De-reverb. This will automatically detect a multiband reverb profile for the audio, as well as the length of the reverb tail.
- Now select the entire section of audio you wish to process.
- Click Preview to listen to the audio with De-reverb applied. The master reduction amount will still be set to the default value of 10.0, but this setting is likely too aggressive for this example. Reduce this to around 2.0 or 3.0. Any value above 0 will reduce the reverb tail, but any value below 0 will enhance the reverberant signal. You can also tailor the reduction amounts at certain frequencies using the multiband sliders.
- If you hear the reverb tail getting louder after the initial reduction, adjust the Tail length to accommodate the longer decay time. For this example in St. Paul’s Cathedral, we’ll use a Tail length of 2.9 seconds.
- Check the box marked Output reverb to listen only to the components of the sound that are being removed. Continue to tailor the settings to remove the desired amount of reverb without affecting too much of the voice. For this example, we’ll reduce the High frequency attenuation to 2.5 and the general Reduction slider to 2.5 as well.
- Choosing Enhance Dry Signal can help boost the direct signal while continuing to reduce the reverberant tail.
- Click Process to render.
- Repeat the steps above two or three times, relearning the reverb profile each time and processing with moderate reduction settings to tackle complex reverbs.