Errors are unavoidable in advanced computer vision applications such as optical character recognition, and the noise induced by these errors presents a serious challenge to downstr...
This paper describes a spoken dialog QA system as a substitution for call centers. The system is capable of making dialogs for both fixing speech recognition errors and for clari...
Although speech recognition technology and voice synthesis systems have become readily available, recognition accuracy remain a serious problem in the design and implementation of ...
Shuang Xu, Santosh Basapur, Mark Ahlenius, Deborah...
Interfaces based on recognition technologies are used extensively in both the commercial and research worlds. But recognizers are still error-prone, and this results in human perf...
Jennifer Mankoff, Scott E. Hudson, Gregory D. Abow...
Both handwriting recognition systems and their users are error prone. Handwriting recognizers make recognition errors, and users may miss those errors when verifying output. As a ...
Abstract. Optical music recognition (OMR) enables librarians to digitise early music sources on a large scale. The cost of expert human labour to correct automatic recognition erro...
Laurent Pugin, John Ashley Burgoyne, Ichiro Fujina...