4 accepted papers
Spoken language identification (LID) technologies have improved in recent years from discriminating largely distinct languages to discriminating highly similar languages or even dialects of the same language. One aspect that has been mostly neglected, however, is discrimination of languages for mult…
We investigate the problem of machine learning with mislabeled training data. We try to make the effects of mislabeled training better understood through analysis of the basic model and equations that characterize the problem. This includes results about the ability of the noisy model to make the sa…
Individual ship detection from underwater audio is the task of deciding whether a specific ship is present, using sound captured by an underwater hydrophone. It is a task analogous to speaker identification (SID), in the sense that it is an open-class detection task; the ships present could be other…
Recent work reported on fast speaker search over large speech data corpora has focused on using locality sensitive hashing (LSH) search with hashing functions approximating i-vector based cosine distances (CosDist) for model comparisons. Because of the superior performance of probabilistic linear di…