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eMo Generator
Waves

eMo Generator

Analysers & Metering
$24.99Save $14.01 (35.9% off)
$39.00
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Lowest ever: $24.99
90 day history
$0$10$20$30$40$5021 Apr14 May8 Jul
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On sale 96% of the last 90 days
Lowest tracked price: $24.99
Highest tracked price: $39.00
Almost always discounted - treat the sale price as the real price.
About

Product Overview

Waves' eMo Generator is a straightforward test tone and signal analysis tool that functions as an essential utility for mixing, mastering, and system setup. The plugin generates sine waves, pink noise, and white noise, with precise frequency control for sine waves and adjustable output levels across all sources. Its primary value emerges when paired with spectrum analysis tools - the included analyzer in Waves' F6, GEQ, and H-EQ provides real-time visual feedback of filter responses, EQ curve accuracy, and harmonic content.

For live sound engineers and installed systems technicians, the eMo Generator serves practical diagnostic purposes: locating room resonances, ringing out PA systems, and verifying phase coherence between channels. Studio practitioners benefit from using gated sine waves to excite drum synthesis or layering gated pink noise under acoustic elements for augmented character. The car emulation feature - mixing in pink noise to simulate listening fatigue patterns during automotive playback - addresses a genuine mixing concern without requiring actual test drives.

The tool's technical implementation is transparent and predictable. Sine waves maintain excellent phase accuracy across frequency ranges, and the noise generation exhibits consistent spectral properties. While not a sophisticated analysis suite on its own, the eMo Generator functions effectively as a complementary component within Waves' broader mixing ecosystem.

For sound designers and engineers requiring advanced test signal generation, this plugin occupies a utilitarian niche. Its simplicity prevents unnecessary complexity in diagnostic workflows, making it valuable for both quick problem-solving and methodical system characterization.

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