Abstract
In this work, we present an approach for semantically based
search for similar segments of a speech task, i.e., the search for
audio segments in a row audio repository that are semantically
related to the audio segment given by a user. Our approach is
based on the lexical representation of segments of words that
are enriched by semantic relations. We have studied different
distance measures and the lexical/semantic representation of the
segments. We present experiments for a task of recorded dialogs
between students talking about whatever they want, which is a
semantically unbounded task. The results, which are encouraging,
indicate the potential advantages of using this approach to
address this problem
