Abstract In this talk we will describe a multi-rate extension of hidden Markov models HMMs, multi-rate coupled HMMs, and present their applications to acoustic modeling for speech recognition. Multi-rate HMMs are parsimonious models for stochastic[…]
View Seminar Video Abstract The talk reports on recent work in corpus analysis done at Stanford. The studies aim at determining the weight of various factors that influence the choice of syntactic paraphrases. More specifically[…]
View Seminar Video Abstract Dr. Glass is Associate professor of Epidemiology at the Bloomberg School of Public Health. He is broadly trained in social science and holds a Ph.D. in Medical Sociology from Duke University.[…]
View Seminar Video Abstract We explore two ways of extending phrase-based machine translation to incorporate insights from syntax. Biography David Chiang is a postdoctoral researcher at the University of Maryland Institute for Advanced Computer Studies.[…]
View Seminar Video Abstract Automated essay scoring was initially motivated by its potential cost savings for large-scale writing assessments. However, as automated essay scoring became more widely available and accepted, teachers and assessment experts realized[…]
View Seminar Video Abstract I will introduce some of our research on improving speech translation, by reducing acoustic-phonetic confusions in accented speech, named entity recognition from speech, and semantics-based translation disambiguation. Accent is a major[…]
View Seminar Video Abstract In order to recognize speech, human listeners use cues distributed across different frequencies. Frequency-importance functions, which indicate the relative importance of different frequency bands for speech recognition, are an essential ingredient[…]
