New sample-based synthesizer includes 11 GB of versatile patches and samples
Cambridge, MA (November 19, 2014) — iZotope, Inc., a leading audio technology company, has just released the newest version of their sample-based synthesizer, Iris. Iris 2 is a visual instrument that combines the power of a sampler with the flexibility of a modular synth.
New features include a robust modulation system, sample pools that can load both samples and classic oscillator waveforms, a completely redesigned interface with extensive visualizations and metering, enhanced effects and filters, and fresh patches to inspire creativity.
Iris 2 is built so that new sounds can be discovered right out of the box, including soaring leads, growling basses, classic synths, and percussive effects. More than 350 patches with intuitive controls are included, so that users can easily produce and perform music that they have tweaked and customized.
"After listening carefully to feedback from hundreds of musicians, producers, and sound designers, it became clear that Iris is a one-of-a-kind tool in their craft," says iZotope Product Manager Bradford Swanson. "We've designed Iris 2 to help inspire musicians with new possibilities and sounds that are easy to access and tweak, but still totally unique."
The core of Iris 2's creative engine is the ability to layer samples. Endless combinations can be made by mixing a built-in collection of analog oscillator waveforms, an 11 GB sound library of samples, and users' own audio files. Dynamic tremolo effects, expressive vibratos, and radical filter sweeps can be achieved through up to five adjustable-curve ADSR envelopes, as well as five LFOs with dozens of morphing wavetable options. Iris 2 is rounded out with multiple effects, like eight distortions, a classic synth chorus, digital and analog delay options, and a warm plate reverb emulation.
iZotope's award-winning spectral filtering technology contributes to the Iris experience. Users can visualize and edit their sound with incredible precision by drawing, selecting, and isolating sonic components from each sample layer.