Most acoustic models used by ‘Open Source’ speech recognition (or Speech-to-Text) engines are ‘Closed Source’. They do not give you access to the speech audio and transcriptions (i.e. the speech corpus) used to create the acoustic model.

The reason for this is that Free and Open Source (‘FOSS’) projects are required to purchase large speech corpora with restrictive licensing. Although there are a few instances of small FOSS speech corpora that could be used to create acoustic models, the vast majority of corpora (especially large corpora best suited to building good acoustic models) must be purchased under restrictive licenses.

The goal of this project is to generate an extremely cheap, functional ECG machine made from common parts, most of which can be found around your house. This do-it-yourself (DIY) ECG project is different than many others on the internet in that it greatly simplifies the circuitry by eliminating noise reduction components, accomplishing this via software-based data post-processing. Additionally, this writeup is intended for those without any computer, electrical, or biomedical experience, and should be far less convoluted than the suspiciously-cryptic write-ups currently available online. In short, I want to give everybody the power to visualize and analyze their own heartbeat!

Check out Scott’s heart rate monitor as he plays Counterstrike:

Neat!

(via MedGadget)