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Noise reduction algorithms – PNR vs. RNR

  • On July 16, 2018
Background Recently SoliCall introduced the reference-based noise reduction (RNR). This new technology was added to our noise reduction portfolio which already contained profile-based noise reduction (PNR) and standard noise reduction.  Following the RNR introduction, we got requests to elaborate on the difference between PNR and RNR as they both use a profile/learning mechanism. In this […]
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Evaluating The Power Of Personal Noise Reduction On Live Calls

  • On December 14, 2016
Background In this post we will describe a simple method for evaluating the power of the innovative profile-based noise reduction technology. This method does not provide optimal professional results but it can be used for preliminary evaluation. Companies that are interested in a more professional evaluation should contact us. In this post we will describe […]
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Personalized Noise Reduction Software – Audio Samples

  • On November 19, 2016
Background As we discussed in our previous post on user specific noise reduction, the personalized noise reduction software utilizes new methods to perform noise suppression. The results are impressive. The following recordings were done by executing the personalized noise reduction software under the toughest conditions possible: analyzing a single mono audio channel without any additional input […]
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Personalized Noise Reduction Software. Why Is It Different ?

  • On November 19, 2016
Background Following our last post that revealed audio samples of the new personalized noise reduction technology, we keep getting requests to clarify the difference between the personalized noise reduction software and other noise reduction technologies that exists in the market today. In this post we will review a common scenario that will help visualized the […]
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Extreme Noisy Environments

  • On November 19, 2016
Background Following our last post on the profile-based noise reduction technology, in this post we would like to cover few environments that suffer from extreme ambient noise. In these environments, many existing technologies are used to minimize the ambient noise. Unfortunately this is not enough and the output usually suffers from significant residual ambient noise […]
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