ROVER [1] and its successor voting procedures have been shown to be quite effective in reducing the recognition word error rate (WER). The success of these methods has been attributed to their minimum Bayes-risk (MBR) nature: they produce the hypothesis with the least expected word error. In this paper we develop a general procedure within the MBR framework, called segmental MBR recognition, th...

BACKGROUND Medication administration is the final step/phase of medication process in which its error directly affects the patient health. Due to the central role of nurses in medication administration, whether they are the source of an error, a contributor, or an observer they have the professional, legal and ethical responsibility to recognize and report. The aim of this study was to assess t...

BACKGROUND Underreporting of errors in hospitals persists despite the claims of technology companies that electronic systems will facilitate reporting. This study builds on previous analyses to examine error reporting by nurses in hospitals using electronic media. PURPOSE This research asks whether the electronic media creates additional barriers to error reporting, and, if so, what practical...

The word error rate (WER), commonly used in ASR assessment, measures the cost of restoring the output word sequence to the original input sequence. However, for most CSR applications apart from dictation machines a more meaningful performance measure would be given by the proportion of information communicated. In this article we introduce two new absolute CSR performance measures: MER (match e...

This paper studies the relationship between word error rate (WER) and keyword error rate (KER) in speech transcripts and their effect on the performance of speech analytics applications. Automatic speech recognition (ASR) systems are increasingly used as input for speech analytics, which raises the question of whether WER or KER is the more suitable performance metric for calibrating the ASR sy...

We report on experiments to measure the effect of speech recognition errors and automatic punctuation insertion errors on the performance of information extraction (entity and relation extraction). The outputs of several recognition systems with a range of word error rates (WER), along with punctuation insertion, were fed into a system that extracts entities and relations from the recognized te...