Abstract A document isn’t relevant – at least, not immediately – if you can’t understand it, yet search engines have traditionally ignored the problem of finding content at the right level of difficulty as an[…]
View Seminar Video Abstract Acoustic model adaptation can reduce the degradation in speech recognition accuracy caused by mismatch between the speech seen at runtime and that seen in training. This mismatch is caused by many[…]
View Seminar Video Abstract It used to be that computational linguists had to collaborate with roboticists in order to work on grounding language in the real world. However, since the advent of the internet, and[…]
View Seminar Video Abstract Hearing and sound, compared with vision, are latecomers and second cousins in cultural and scientific history. Still today, voice scientists are scattered across many disciplines and much of vocal function remains[…]
Abstract The traditional supervised machine learning paradigm is inadequate for a wide array of potential machine learning applications where the learning algorithm decides on an action in the real world and gets feedback about that[…]
View Seminar Video Abstract In this talk, I will present AD3 (Alternating Directions Dual Decomposition), an algorithm for approximate MAP inference in loopy graphical models with discrete random variables, including structured prediction problems. AD3 is[…]
View Seminar Video Abstract The human speech signal carries crucial information not only about communication intent but also affect, and emotions. From a basic scientific perspective, understanding how such rich information is encoded in human[…]
