We present a study of data simulated using acoustic models trained on Switchboard data, and then recognized using various Switchboard-trained acoustic models. The Switchboard-trained models yield word error rates of about 47 percent, on real Switchboard conversations. When data is simulated using the acoustic models, but in a way that insures that the pronunciations in our recognition dictionar...

PURPOSE To document the incidence and outcome of flash burns due to electrical switchboard explosions presenting to Concord Hospital Burns Unit, from January 2000 to December 2008. METHODS The Concord Hospital Burns Unit Database was reviewed for admissions due to electrical burns from January 2000 to December 2008. RESULTS There were 119 electrical burns admitted during the study period, 2...

Speaker adaptation is the process of transforming some speaker-independent acoustic model in such a way as to more closely match the characteristics of a particular speaker. It has been shown by several researchers to be an e ective means of improving the performance of large vocabulary continuous speech recognition systems. Until very recently speaker adaptation has been used exclusively as a ...

There is increasing interest in systems which attempt to automate a task or a transaction using speech input and output. To function effectively with imperfect speech recognition, such systems require an estimate of which words in the output from the recogniser are likely to be correct and which can probably be disregarded as incorrect i.e. a confidence-measure for each decoded word. We define ...

Automatic speech recognition of real-life conversational speech is a precondition for building natural human-centered man-machine interfaces. Being able to extract speech utterances from real-life broadcast news audio streams and transcribing them with an overall word accuracy of 83% we are still faced with the problem of transcribing true conversational speech in real-life (i.e. bad) backgroun...

Dialog acts represent the illocutionary aspect of the communication; depending on the nature of the dialog and its participants, different types of dialog act occur and an accurate classification of these is essential to support the understanding of human conversations. We learn effective discriminative dialog act classifiers by studying the most predictive classification features on Human-Huma...

In order to manage the construction schedule risk of power supply and distribution engineering, a evaluation model, namely Monte Carlo simulation method - Analytic Hierarchy Process (MCS-AHP) is proposed. this adopted improve analytic (AHP), normal interval used replace specific value when constructing fuzzy complementary judgment matrix, reduce thinking incomplete information or scattered data...