If the Wolfram language Audio Processing functions could be slightly generalized, so that they were able to easily process streaming data in addition to the current fixed lists of data, then this would open the door to all kinds of real time digital signal processing applications with the Pi.
Imagine a Pi, a microphone, a pair of headphones and half a dozen lines of code Wolfram code doing frequency scaling so you could hear everything from 20 Hz to 20 kHz and adjust the gain as needed over those frequencies.
Imagine a Pi, a NeuroSky MindWave Mobile BrainWave Starter kit and half a dozen lines of Wolfram code doing DSP on your EEG data to look for and trigger on specific patterns.
During the web presentation of the new features in version 11 I asked if the audio processing functions might be generalized to be able to do this. I was told there couldn't be any promises made, but that this might not be a huge undertaking and it might possibly be slipped into a minor release.
If there is any way that could be done and released soon then I can imagine all sorts of projects to showcase Wolfram on the Pi.
Imagine what kids might do with half a dozen lines of Wolfram code doing real time DSP that we can't even think of.