Update README.md

Author: swharden

README.md

@@ -7,7 +7,7 @@ This repository is a collection of minimal-case example projects to display data
 
 Project Description | Screenshot
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-**[realtime audio spectrograph](/projects/18-01-11_microphone_spectrograph/)** listens to your default recording device (microphone or SterioMix) and creates a 2d time vs. frequency plot where pixel values are relative to frequency power (in a linear or log scale). This project is demonstrated in a YouTube video. This example is not optimized for speed, but it is optimized for simplicity and should be very easy to learn from.|![](/projects/18-01-11_microphone_spectrograph/spectrograph.gif)
+**[realtime audio spectrograph](/projects/18-01-11_microphone_spectrograph/)** listens to your default recording device (microphone or StereoMix) and creates a 2d time vs. frequency plot where pixel values are relative to frequency power (in a linear or log scale). This project is demonstrated in a YouTube video. This example is not optimized for speed, but it is optimized for simplicity and should be very easy to learn from.|![](/projects/18-01-11_microphone_spectrograph/spectrograph.gif)
 **[realtime audio level meter](/projects/18-01-09_microphone_level_meter/)** uses NAudio to provide highspeed access to the microphone or recording device. This project is a minimal-case project intended to remind the author how to effeciently interact with incoming audio data.|![](/projects/18-01-09_microphone_level_meter/screenshot.gif)
 **[realtime graph of microphone audio (RAW and FFT)](/projects/17-07-16_microphone/)** Here I demonstrate a minimal-case example using the interactive graphing framework (below) to display audio values sampled from the microphone in real time. FFT () is also calculated and displayed interactively. [See this project demonstrated on YouTube](https://youtu.be/qUlCImYOC8c). Audio capture is achieved with nAudio and FFT with Accord. See [FFT notes](/notes/FFT.md) for additional details. | ![](/projects/17-07-16_microphone/demo.gif)
 **[linear data speed rendering](/projects/17-07-03_wav_speed_rendering/)** I **dramatically** sped-up the graphing by drawing only single vertical lines (of small range min and max values) when the point density exceeds the horizontal pixel density. This is only suitable for evenly-spaced linear data (which is exactly what my target applications will be plotting). Performance is great, and there is plenty of room for improvement on the coding side too. `AddLineXY()` will be used to manually draw a line between every X,Y point in a list. `AddLineSignal()` graphs data from huge amounts of linear data by only graphing vertical lines.| ![](/projects/17-07-03_wav_speed_rendering/demo.gif)