!9# JAWBONE JAW BONE 2 Version II headset GOLD NIB JAWBONE JAW BONE 2 Version II headset GOLD NIB

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| Post Date : Apr 17, 2012 01:00:44 | Usually ships in 1-2 business days

JAWBONE JAW BONE 2 Version II headset GOLD NIB JAWBONE JAW BONE 2 Version II headset GOLD NIB

The Science
Jawbone eliminates real world noise better than any other headset because it is the only headset that can accurately separate speech from ambient noise.
The mobile phone is the prevailing communication tool for business and personal productivity, and people expect to be able to use their phones in all environments without sacrificing audio quality. Jawbone's patented NoiseAssassin technology is unique in its ability to separate speech from ambient noise with remarkable precision. Jawbone's NoiseAssassin is able to achieve this while other headsets cannot due to:
Patented VAS
Jawbone's Voice Activity Sensor (VAS) is able to detect very accurately when the person is talking and capture the frequencies of his or her speech even in the presence of noise.
Advanced DSP Algorithms
The NoiseAssassin algorithms were developed over a number of years for the Defense Advanced Research Projects Agency (DARPA).
These required powerful noise suppression algorithms for use in the most extreme acoustic noise environments including battlefields and helicopters. The algorithms use Jawbone's two microphones and the VAS to accurately model the noise environment.
Jawbone detects when and how a person is speaking, models the noise, and aggressively eliminates it.
Conventional "noise eliminating" headsets do not have the VAS and can only estimate when speech is occurring with software-based Voice Activation Detection (VAD) systems. For these systems to work, the speech must be significantly louder or spectrally different from the noise. These systems fail in loud environments or in the presence of other people's speech. Furthermore, because they can't accurately identify the speech signals, they distort the speech in the process of attempting to eliminate the noise. The result of this distortion is a significant degradation in intelligibility and quality in order to achieve a perceptual reduction in noise.

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