Abstract Acoustic segmental modeling (ASM) is an extension of frame-based vector quantization (VQ) to establish a common set of segment-based fundamental speech units to characterize the acoustic universe. ASM has been applied to speech recognition[…]
Abstract Many digital resources, like the Web, are dynamic and ever-changing collections of information. However, most of the tools that have been developed for interacting with Web content, such as browsers and search engines, focus[…]
View Seminar Video Abstract In this presentation, two perspectives of assessing human interaction are considered: (i) nonverbal behavior, and (ii) variability in speech production for speaker recognition.Part 1: During inter-personal human interaction, speech and gestures[…]
View Seminar Video Abstract Learning linguistic analyzers from unannotated data remains a major challenge; can multilingual text help? In this talk, I will describe learning methods that use unannotated data in a target language along[…]
View Seminar Video Abstract Imagine you need to get the gist of what’s going on in a large text dataset such as all tweets that mention Obama, all e-mails sent within a company, or all[…]
Abstract Bitly is a URL shortening service, gathering hundreds of millions of data points about the links people share every day. I’ll discuss the data analysis techniques that we use, giving examples of machine learning[…]
Abstract How can we create an algorithm that learns to associate images with sentences in natural language that describe the situations depicted in them? This talk will describe ongoing research towards this goal, with a[…]
