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

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 translation, we are faced with the problem of how to couple the speech
recognition process and the translation process. Starting from the Bayes decision rule for …

For large vocabulary continuous speech recognition systems, the amount of acoustic
training data is of crucial importance. In the past, large amounts of speech were thus …

Recurrent neural networks (RNNs) have recently been applied as the classifiers for
sequential labeling problems. In this paper, deep bidirectional RNNs (DBRNNs) are applied …

The paper investigates the estimation of word posterior probabilities based on word lattices
and presents applications of these posteriors in a large vocabulary speech recognition …

The past decade (1990-2000) has witnessed substantial advances in speech recognition
technology, which when combined with the increase in computational power and storage …

The LIMSI Arise system provides vocal access by telephone to rail travel information for
main French intercity connections, including timetables, simulated fares and reservations …

Most speech recognition applications in use today rely heavily on confidence measure for
making optimal decisions. In this paper, we aim to answer the question: what can be done to …

In automatic speech recognition, confidence measures provide a quantitative representation
used to assess the reliability of generated hypothesis text. For personal assistant devices …