Thomas M. Cheng
IT Professional
This paper outlines the background development of "intelligent" technologies such as speech recognition. Despite significant progress in the development of these technologies, they still fall short in many areas, and rapid advances in areas such as dictation are actually stalled. In this paper we have proposed semi-automatic solutions - smart integration of human and intelligent efforts. One such technique involves improvement to the speech recognition editing interface, thereby reducing the perception of errors to the viewer. Other techniques that are described in the paper are batch enrollment, which allows the user to reduce the amount of time required for enrollment, and content spotting, which can be used for applications that have repeated content flow, such as movies or museum tours. The paper also suggests a general concept of distributive training of speech recognition systems that is based on data collection across a network. © John Benjamins Publishing Company.
Thomas M. Cheng
IT Professional
Inbal Ronen, Elad Shahar, et al.
SIGIR 2009
Apostol Natsev, Alexander Haubold, et al.
MMSP 2007
B.K. Boguraev, Mary S. Neff
HICSS 2000