In this paper, we present several confidence measures for large vocabulary continuous
speech recognition. We propose to estimate the confidence of a hypothesized word directly …

In speech recognition, confidence measures (CM) are used to evaluate reliability of
recognition results. A good confidence measure can largely benefit speech recognition …

For many practical applications of speech recognition systems, it is desirable to have an
estimate of con dence for each hypothesized word, ie to have an estimate which words of …

Speaker adaptation techniques provide a powerful solution to customise automatic speech
recognition (ASR) systems for individual users. Practical application of unsupervised model …

This paper proposes a probabilistic framework to define and evaluate confidence measures
for word recognition. We describe a novel method to combine different knowledge sources …

For many practical applications of speech recognition systems, it is desirable to have an
estimate of confidence for each hypothesized word, ie to have an estimate of which words of …

Estimates of confidence for the output of a speech recognition system can be used in many
practical applications of speech recognition technology. They can be employed for detecting …

Even without speech recognition errors, robots may face difficulties interpreting natural-
language instructions. We present a method for robustly handling miscommunication …

In noisy listening conditions, the information available on which to base speech recognition
decisions is necessarily incomplete: some spectro-temporal regions are dominated by other …

Confidence estimation has been largely used in speech recognition to detect words in the
recognized sentence that have been likely misrecognized. Confidence estimation can be …