View Seminar Video Abstract Deep Neural Networks have become the state-of-the-art for acoustic modeling, showing gains between 10-30% relative compared to Gaussian Mixture Model/Hidden Markov Models . In this talk, I discuss how to improve[…]
View Seminar Video Abstract If infinite amounts of labeled data are provided, many machine learning algorithms become perfect. With finite amounts of data, regularization or priors have to be used to introduce bias into a[…]
Abstract Speech production has motivated several lines of work in the speech recognition research community, including using articulator positions predicted from acoustics as additional observations and using discrete articulatory features as lexical units instead of[…]
Abstract We report on the creation and analysis of a set of corpora of non-linguistic symbol systems. The resource, the first of its kind, consists of data from seven systems, both ancient and modern, with[…]
Abstract The brain empowers humans and other animals with remarkable abilities to sense and perceive their acoustic environment in highly degraded conditions. These seemingly trivial tasks for humans have proven extremely difficult to model and[…]
Abstract The increasing reach of the Web enables billions of people around the world to create, share, and find information online. The behavior data created by these activities have been a goldmine for improving nearly[…]
Abstract We are facing enormous growth in the amount of information available from various data resources. This growth is even more notable when it comes to text data; the number of pages on the internet,[…]
