MingHsiangSu的部落格

The figure was captured from HTK website: http://htk.eng.cam.ac.uk/

HTK is primarily used for speech recognition research although it has been used for numerous other applications including research into speech synthesis, character recognition and DNA sequencing.

The Hidden Markov Model Toolkit 最早是由劍橋大學工程系的Machine Intelligence Lab所開發的軟體。在2000年時，微軟將HTK定位為免費軟體，以便作為語音辨識的共同平台，來提升語音辨識等相關技術。HTK，目前主要被使用在語音訊號相關的研究中，例如語音辨識、語音合成等相關應用。

HTK consists of a set of library modules and tools available in C source form. The tools provide sophisticated facilities for speech analysis, HMM training, testing and results analysis. The software supports HMMs using both continuous density mixture Gaussians and discrete distributions and can be used to build complex HMM systems.

HTK 包含了由C語言所開發的library modules和tools，可以提供了語音訊號分析所需要的相關 Hidden Markov Model 訓練，測試和結果分析。HTK提供continuous density mixture Gaussians和discrete distributions以供訓練HMMs使用，以便能建構複雜的HMM模型。