Editing DARPA Speech Understanding Research (section)

== Historical Context ==
While there had been partially successful attempts to understand discrete speech (see, for example, Bell's [[Bell Labs' Auditory Model|Audrey]]), there were virtually no systems capable of comprehending continuous speech at the time, except for Raj Reddy's recognition system, which was primarily used for issuing chess commands<ref>Reddy, D. R., Erman, L. D., Fennell, R. D., Lowerre, B. T., & Neely, R. B. (1974). The Hearsay speech understanding system. ''The Journal of the Acoustical Society of America'', ''55''(2_Supplement), 409-409.</ref>. Furthermore, previous methods were limited to vocabularies of no more than 200 words (e.g., IBM's 16-word "[[IBM Shoebox|Shoebox]]"). In contrast, DARPA's SUR project aimed to achieve speech recognition with a vocabulary of at least 1,000 words<ref name=":0">Furui, S. (2005). 50 years of progress in speech and speaker recognition research. ''ECTI Transactions on Computer and Information Technology (ECTI-CIT)'', ''1''(2), 64-74.</ref>. As a result, the project's goals significantly surpassed the capabilities of existing state-of-the-art solutions.