DictaWav (utterances in latim) is a open source project of vocal utterances recognition. Based on Weightless Neural Network Model WiSARD (Wilkes, Stonham and Aleksander Recognition Device), it aims to be a general purpose library to the recognition of any set of vocal utterances from a single user.
DictaWav uses CMake as the project's build system
DictaWav uses FFTW3 to perform discrete Fourier transform on audio data, for install instructions, look at their page.
DictaWav uses libsndfile to manipulate wav files.
git clone https://github.com/fogodev/dictawav.git
cd dictawav
cmake .
make
./DictaWav