|Price (MSRP)||$49 / €39|
|Type / Tags|
DidgHybridoo is a modern cinematic library for Kontakt 4.2.4. It features samples from the great didgeridoo player Christian Muela (check out his website here www.christianmuela.it).
This is the first didgeridoo library ever which not relies on sampled phrases or generic uncontrollable drones. Since emulating a didgeridoo is at least as difficult as emulating the human voice, we've developed a custom hybrid solution which not only morphs between the different vowel samples, but enhances the vowels with the help of a custom formant filtering engine. So you can really make your virtual didgeridooist pronounce the different vowels and smoothly change between them.
With DidgHybridoo you can design your own rhythms by customizing the 12 rhythm patterns. The VowelWheel allows the user to fully customize what vowels the virtual didgeridooist will sing. The patterns control how much the cursor moves between the Start and the End vowels, the intensity of the playing and how much the didgeridooist growls.
You can alter the sound of DidgHybridoo in various ways: you can change the formant frequencies, alter one or more overtones, adjust the gain of a single overtone, add a resonator to enhance particular frequencies. This makes this instrument suitable to many sound design experiments and that's why we added many NKI's with morphable drones, didgeridoo-based soundscapes and rhythmic resonant sequences.
The sequences can be smoothed or randomized to give more realism to the final performance.
There are three main patches in DidgHybridoo: an ambient-filmscoring patch and two different sounding ones which suit the best for modern music. This instrument is really a singer in one box, so develop your own rhythms and play:
- 326 MB Sample library (compressed in Kontakt's NCW Format).
- 519 Samples (44kHz/24-bit).
- 13 NKI Patches.
- Advanced formant filtering engine.
- Rhythmic Modulator with Start/End, Intensity and Growl control.
- 8 Resonator presets based on the selected drone note.
- 18 unique Convolution IRs.