Author: Andreas Kathol

We study the question of how intrinsic variations (associated with the speaker rather than the recording environment) affect text-independent speaker verification performance.

We present a number of challenges and solutions that have arisen in the development of a speech translation system for American English and Pashto, highlighting those specific to a very low resource language.

We present results from a study seeking to distinguish deceptive from non-deceptive speech using machine learning techniques on features extracted from a large corpus of deceptive and non-deceptive speech. We present current results comparing the performance of acoustic/ prosodic, lexical, and speaker-dependent features and discuss future research directions.

This paper describes a prototype system for near-real-time spontaneous, bidirectional translation between spoken English and Pashto.