DARPA Speech Understanding Research: Difference between revisions

Revision as of 18:56, 15 September 2023

Introduction

DARPA stands for Defense Advanced Research Projects Agency, a research agency of the United States Department of Defense responsible for the development of emerging technologies for use by the military.

Historical Context

There had been partially successful attempts to understand discrete speech (see, for example, Bell's Audrey) but no system to understand speech that is continious existed at the time^[1]. Moreover, previous methods dealt with vocabularies no larger than 200 words (e.g., IBM's 16-word "Shoebox"), while DARPA's SUR aimed at a vocabulary with at least one thousand words.

Key Innovations

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Impact

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Future research

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References

To insert a reference, type <ref> and paste the source your exported from Zotero (or whatever reference manager you're using) in the pop up box which appears. Make sure links in citations are clickable using proper formatting. Once you do this, a footnote will appear.^[2] and a reference comes at the end automatically. Please use this method to cite for Wiki articles only, not for your thesis.

↑ Funding a Revolution: Government Support for Computing Research. (1999). Украина: National Academies Press.
↑ Glantz, Richard "SHOEBOX: a personal file handling system for textual data." In Proceedings of the November 17-19, 1970, Fall Joint Computer Conference 1970. 535-545. [1]

Group members

Igor Marchenko
Wangyiyao Zhou
Yanpei Ouyang
Youyang Cai
Yi Lei

[1] Funding a Revolution: Government Support for Computing Research. (1999). Украина: National Academies Press.

[2] Glantz, Richard "SHOEBOX: a personal file handling system for textual data." In Proceedings of the November 17-19, 1970, Fall Joint Computer Conference 1970. 535-545. [1]

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 == Historical Context ==
-There had been partially successful attempts to understand discrete speech (see, for example, Bell's [[Bell Labs' Auditory Model|Audrey]]) but no system to understand speech that is continious existed at the time. Moreover, previous methods dealt with vocabularies no larger than 200 words (e.g., IBM's 16-word "[[IBM Shoebox|Shoebox]]"), while DARPA's SUR aimed at a vocabulary with at least one thousand words.
+There had been partially successful attempts to understand discrete speech (see, for example, Bell's [[Bell Labs' Auditory Model|Audrey]]) but no system to understand speech that is continious existed at the time<ref>Funding a Revolution: Government Support for Computing Research. (1999). Украина: National Academies Press.</ref>. Moreover, previous methods dealt with vocabularies no larger than 200 words (e.g., IBM's 16-word "[[IBM Shoebox|Shoebox]]"), while DARPA's SUR aimed at a vocabulary with at least one thousand words.
 == Key Innovations ==