WS’10 Summer Workshop
Research Groups Localizing Objects and Actions in Videos with the Help of Accompanying Text Models of Synchronous Grammar Induction for SMT Speech Recognition with Segmental Conditional Random Fields
Research Groups Localizing Objects and Actions in Videos with the Help of Accompanying Text Models of Synchronous Grammar Induction for SMT Speech Recognition with Segmental Conditional Random Fields
Abstract Current ASR systems can reach high levels of performance for particular domains as attested by various government-sponsored speech recognition evaluations. This comes at the expense of an ever increasing complexity in the recognition architecture.[…]
View Seminar Video Abstract Deep networks can be learned efficiently from unlabeled data. The layers of representation are learned one at a time using a simple learning module that has only one layer of latent[…]
Abstract This talk will present the making of Darpa’s Global Autonomous Language Exploration (GALE) initiative, from soup to nuts. I will describe the development of human-language technology, specifically translation and distillation of both speech and[…]
Abstract In the 80s and 90s of the last century, in subdisciplines such as planning, text generation, and dialog systems, there was considerable interest in modeling the cognitive states of interacting autonomous agents. Theories such[…]
Abstract Google search by Voice is a free application from Google that allows spoken access to google.com. We currently support Apple iPhone, Android, Blackberry and Nokia Series 60 devices. In this talk we will give[…]
Abstract This talk describes a weighted finite-state transducer composition algorithm that generalizes the concept of the composition filter and presents look-ahead filters that remove useless epsilon paths and push forward labels and weights along epsilon[…]