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Free online tool for managing Q&A in classes. Students can submit questions; answers are given in wiki format (students can all edit 1 student-contributed answer, instructors can edit instructor-contributed answer). 

Google is a very popular search engine, but did you know that it could also serve as a Tutor? Click here to download a 5-page guide, or scroll down to preview a few tips from the guide itself.

""Julius" is a high-performance, two-pass large vocabulary continuous speech recognition (LVCSR) decoder software for speech-related researchers and developers. Based on word N-gram and context-dependent HMM, it can perform almost real-time decoding on most current PCs in 60k word dictation task. Major search techniques are fully incorporated such as tree lexicon, N-gram factoring, cross-word context dependency handling, enveloped beam search, Gaussian pruning, Gaussian selection, etc. Besides search efficiency, it is also modularized carefully to be independent from model structures, and various HMM types are supported such as shared-state triphones and tied-mixture models, with any number of mixtures, states, or phones. Standard formats are adopted to cope with other free modeling toolkit such as HTK, CMU-Cam SLM toolkit, etc. The main platform is Linux and other Unix workstations, and also works on Windows. Most recent version is developed on Linux and Windows (cygwin / mingw), and also has Microsoft SAPI version. Julius is distributed with open license together with source codes. Note: you should prepare a language model and an acoustic model to run a speech recognition with Julius. "

Syllabus for LLT course from University of Calgary