Listen Now: Alango Deep Neural Network-based Noise Suppression
Separating noise from speech is a core part of what we do at Alango and we never stop looking for ways to make it even better.
Classical DSP-based noise reduction (which can be found in our current-gen voice communication solutions, VCP and eVCP) is an efficient, tried-and-true method for removing noise from speech, applicable to a broad set of device types and call environments. But classical audio signal processing has its limitations. For example, non-stationary noises are difficult to cancel, and some sounds which are obvious to the human ear as noises (like knocking, or wind sounds) can nonetheless be preserved as voices in the classical approach.
To make VCP even better at distinguishing noise from voice, we have been developing a compact Deep Neural Network Noise Suppression algorithm that will become a part of VCP. We’re excited to share the progress, as we believe it will offer a dramatic improvement in some of the more challenging use cases. Click here to learn more and hear it for yourself.
