Speech recognition errors limit the capability of language models to predict subsequent words correctly. An effective way to enhance the functions of the language model is by using confidence measures. Most of current efforts for developing confidence measures for speech recognition focus on applying these measures to the final recognition result. However, using these measures early in the sear...

Humans are able to recognise a word before its acoustic realisation is complete. This in contrast to conventional automatic speech recognition (ASR) systems, which compute the likelihood of a number of hypothesised word sequences, and identify the words that were recognised on the basis of a trace back of the hypothesis with the highest eventual score, in order to maximise efficiency and perfor...

In this study, considering the effect of phrase grouping in spontaneous speech, prosodic words, instead of lexical words, are adopted as the units for error correction of speech recognition results. The prosodic words and the corresponding mis-recognized word fragments are obtained from a speech database to construct a mis-recognized word fragment table for the extracted prosodic words. For eac...

In this paper, we propose a statistical method of evaluating the pronunciation proficiency for presentation in English. We statistically analyze the utterances to find a combination that has a high correlation between an English teacher’s score and some acoustic features. We found that ratio of the likelihoods of free phoneme recognition by using native English HMMs and nonnative English HMMs w...

Background: Variability in speech performance is a major concern for children with cochlear implants (CIs). Spectral resolution is an important acoustic component in speech perception. Considerable variability and limitations of spectral resolution in children with CIs may lead to individual differences in speech performance. The aim of this study was to assess the correlation between auditory ...

Tone is an essential component for word formation in all tone languages. Substantial work has been done on using tone information to improve speech recognition of tone languages. In this paper, a new method, called Parallel Tone Score Association (PTSA), for effectively and efficiently using tone in speech recognition is proposed. Experimental results show that the relative character error rate...