Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Yun-Cheng Ju"'
Publikováno v:
EACL (1)
In this paper we tackle a unique and important problem of extracting a structured order from the conversation a customer has with an order taker at a restaurant. This is motivated by an actual system under development to assist in the order taking pr
Publikováno v:
IEEE Signal Processing Magazine. 28:50-60
Over the last decade, our ability to access, store, and consume huge amount of media and infor mation on mobile devices has skyrocketed. While this has allowed people who are on the go to be more entertained, informed, and con nected, the small-form
Publikováno v:
INTERSPEECH
Spoken language understanding (SLU) in today’s conversational systems focuses on recognizing a set of domains, intents, and associated arguments, that are determined by application developers. User requests that are not covered by these are usually
Autor:
Yun-Cheng Ju, Jasha Droppo
Publikováno v:
Interspeech 2011.
Publikováno v:
CHI
Conversing on cell phones while driving is a risky, yet commonplace activity. State legislatures in the U.S. have enacted rules that limit hand-held phone conversations while driving but that allow for hands-free conversations. However, studies have
Autor:
Jasha Droppo, Yun-Cheng Ju
Publikováno v:
ISCSLP
As speech recognition matures and becomes more practical in commercial English applications, localization has quickly become the bottleneck for having more speech features. Not only are some technologies highly language dependent, there are simply no
Publikováno v:
CHI
Conversing on cell phones while driving an automobile is a common practice. We examine the interference of the cognitive load of conversational dialog with driving tasks, with the goal of identifying better and worse times for conversations during dr
Autor:
Tim Paek, Yun-Cheng Ju
Publikováno v:
Proceedings of the 2nd international workshop on Multimodal interfaces for automotive applications.
Short Message Service (SMS) messaging is very popular, especially among teens. Because research has shown that SMS messaging while driving results in 35% slower reaction time than being intoxicated [7], campaigns have been launched by states, governm
Publikováno v:
ICASSP
Voice search technology has been successfully applied to help drivers reply SMS messages in automobiles, in which a predefined SMS message template set is searched with ASR hypotheses to form the reply candidate list. In order to efficiently organize