The goal of my research is to develop machine learning technology that enables the labeling and segmentation of spontaneous dialogues into meaningful units. We are working on the CallHome Spanish Database . Specialities are adaptive language modeling, word clustering, sequence finding, n-gram and long ranging language models. I am writing my thesis on information access to spoken language, proofing that one can use features other than keywords with great effect in this scenario. One can show that dialogue features can be used to differentiate databases, rejoinders in databases and individual segments in a rejoinder.
Additional one can show that a rejoinder can be segmented using non-keyword information.
I am working in the Interactive System Labs headed by Alex Waibel.