They noted that the documented benefits of DNR include: However, and of significant importance, the benefits of DNR have not previously included improved word recognition scores in noise. Backgroundīeck and Behrens 3 recently reported modern digital noise reduction (DNR) circuits are beneficial for most people, most of the time. The OSN provides the brain with more natural, important, and useful contextual acoustic information than was previously possible. The speed and accuracy of this advanced processing algorithm enables selective noise reduction without closing down (ie, isolating) the speech sounds of maximal interest, while opening up the acoustic landscape and improving speech recognition in noise. In large part, this paradigm shift is about going from “closed” to “open.” That is, rather than closing down (ie, providing less) acoustic information (as happens with traditional directional and beamforming strategies), OSN preserves speech while reducing noise in complex acoustic environments. The OSN is a new speech-enhancement algorithm which exceeds and supplants traditional directionality and noise reduction protocols. In this article, we introduce a paradigm shift with regard to “how to facilitate better understanding of speech in noise” based on Oticon’s OpenSound Navigator (OSN™). 2 The result is we have a better understanding of the planets, the sun, the solar system, physics, astronomy, and more. Indeed, previous views on the matter had to be re-thought. That message was embraced by some, not all, and that paradigm shift turned out to be correct. As best we know, the term was coined by Thomas Kuhn in his 1962 book “The Structure of Scientific Revolutions.” 1 Kuhn applied the term “paradigm shift” to Copernicus, who challenged the status quo and boldly stated the sun is the center of the solar system. The term “paradigm shift” is rarely used with respect to hearing aid amplification protocols and technologies.
The new Oticon OpenSound Navigator (OSN) is designed to exceed and supplant traditional directionality and noise reduction protocols.
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