SWAM SOLO STRINGS BUNDLE
The SWAM Solo Strings Bundle from Audio Modeling includes all four incredibly realistic and expressive virtual orchestral string instruments, SWAM Violin, SWAM Viola, SWAM Cello and SWAM Double Bass in a convenient discounted package.
Forget about the typical limitations of traditional samplers: the SWAM Solo Strings Bundle was developed by Audio Modeling using SWAM Technology (Synchronous Waves Acoustic Modeling): a combination of innovative performance techniques and concepts of Physical and Behavioral Modeling. It doesn't include any samples and is extremely lightweight (only a few megabytes).
Therefore, no multiple-gigabyte pre-recorded libraries are needed: the smallest footprint creates the perfect organic consistency resulting from the endless expressive parameters that are unique to every live performance. SWAM's Solo String Bundle gives you the chance to play a realistic virtual violin, viola, cello, or double bass in real-time via MIDI controllers, while fully managing the expression of all virtual acoustic instruments.
SWAM Engine digitally handcrafted acoustic instruments are never a simple recording of notes via sample libraries, but rather a set of real virtual instruments based on their traditional counterparts. They do not repeat pre-recorded sounds like a sample library does: they play for real.
As a composer, producer, or live performer, you can use the Solo Strings Bundle for Classical, Pop, Jazz, Country, and any other musical style. It's up to you.
The Solo Strings family powered by SWAM-S Engine includes:
SWAM SOLO VIOLIN
SWAM SOLO VIOLA
SWAM SOLO CELLO
SWAM SOLO DOUBLE BASS
AU, VST, VST3, AAX 64bit
10.7 – 10.15 (Catalina)
Windows 7, Windows 8, Windows 10
Required space after installation: 60 MB for two plugins
RAM occupancy: about 15 MB for each instrument instance
The realism and expressiveness of the SWAM instrument requires a computer with at least a 1.6 GHz Core 2 Duo CPU for running a single plugin instance. Less powerful systems may also prove satisfactory, but may require larger buffer sizes, involving higher latencies.