Introduction - If you have any usage issues, please Google them yourself
HTK is a toolkit for building Hidden Markov Models (HMMs). HMMs can be used to model
any time series and the core of HTK is similarly general-purpose. However, HTK is primarily
designed for building HMM-based speech processing tools, in particular recognisers. Thus, much of
the infrastructure support in HTK is dedicated to this task. As shown in the picture above, there
are two major processing stages involved. Firstly, the HTK training tools are used to estimate
the parameters of a set of HMMs using training utterances and their associated transcriptions.
Secondly, unknown utterances are transcribed using the HTK recognition tools.