Abstract In this talk we will give an overview of the different kinds of communication disorders. We will concentrate on communication disorders related to language and speech (i.e., not look at disorders like blindness or[…]
Abstract HiFST is a lattice-based decoder for hierarchical phrase-based translation and alignment. The decoder is implemented with standard Weighted Finite-State Transducer (WFST) operations as an alternative to the well-known cube pruning procedure. We find that[…]
View Seminar Video Abstract There are a vast number of applications that require the ability to extract information from spoken audio. These include, for example, searching for segments of lectures or videos in large media[…]
Abstract Incremental parsing techniques such as shift-reduce have gained popularity thanks to their efficiency, but there remains a major problem: the search is greedy and only explores a tiny fraction of the whole space (even[…]
Abstract Many AI inference problems arising in a wide variety of fields such as network communication, activity recognition, computer vision, machine learning, and robotics can be solved using message-passing algorithms that operate on factor graphs.[…]
Abstract The past few decades have seen the development of wonderful new computing technology that serves as sensors onto an inaccessible world for disabled people – as examples, optical character recognition (OCR) makes printed text[…]
Abstract In this talk I will describe some new approaches to speech recognition that leverage large amounts of data using techniques from information retrieval and machine learning.Speech recognition has been proposed for many years as[…]
