Cedar VoicEX Voice Extractor Plugin

Description

Cedar VoicEX Voice Extractor Plugin

Cedar VoicEX Voice Extractor Plugin — A massive leap forward in AI-powered noise reduction, VoicEX incorporates unique algorithmic capabilities that go beyond standard AI-based noise reduction techniques.

This massive leap has been made possible by a completely new approach to voice extraction, leveraging new advances in the field of deep neural networks to identify the voices in the signal and create two audio streams–one containing just the voices, and one containing everything else. This approach makes VoicEX very simple to use. Where you might expect numerous controls, you’ll find just two knobs – one to determine the loudness of the background, and the other to control the loudness of the speech. Reduce the former, and the noise goes away without affecting the timbre of the voices. Reduce the latter, and the voices go away to reveal the background. Increase either to emphasize that part of the signal. Simple to understand and utilize with truly amazing results.

About AI in Audio

Once in a while a transformative technology appears. Artificial Intelligence (or AI) is one of these, and its impact on the audio industry is going to be huge.

CEDAR Audio started down the road toward AI as far back as 1994 when it introduced the DH-1 dehisser, the world’s first digital broadband denoiser that didn’t require an audio fingerprint. This was something that the company was often told was impossible, but the DH-1 worked, and often worked extremely well, and it proved to be a significant step forward in the art and science of noise reduction. Over the following years, the company developed improved products based upon unique data driven models, and continued to lead the world with hardware and software products that would win Emmy®, Academy®, IABM® and Cinema Audio Society awards. The introduction of the company’s Learn algorithm in 2015 marked another milestone and the latest versions of this underpin the current pinnacle in zero-latency noise reduction using statistical modelling and classic signal processing techniques. But today, the introduction of deep neural networks has fuelled another leap forward, and VoicEX gives an indication of what will be possible in the future when AI is applied to all manner of audio processing requirements. It’s a new world.