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===== HARPY ===== Harpy demonstrated the ability to recognize speech using a vocabulary of 1,011 words with reasonable accuracy of 90%<ref name=":0" />. A significant contribution from the Harpy system was the introduction of a graph search concept, where language was represented as a connected network derived from lexical representations of words, incorporating syntactical production rules and also the rules for word boundaries. In this system, the input speech underwent parametric analysis, followed after by segmentation. The segmented speech sequence was then subjected to phone template matching using the Itakura distance metric. The graph search, based on a beam algorithm, compiled, hypothesized, pruned, and verified the recognized sequence of words or sounds that best satisfied knowledge constraints, achieving the highest matching score which was defined as the smallest distance to the reference patterns. Notably, the Harpy system was among the first to leverage a finite state network to reduce computational load and efficiently identify the closest matching string<ref>Juang, B. & Rabiner, Lawrence. (2005). Automatic Speech Recognition - A Brief History of the Technology Development. </ref>, which began to be widely used in speech recognition problems especially after the invent of [[Hidden Markov Models]].
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