Applications in Intelligent Speech Analysis

Abstract

Speech is broadly considered as being the most natural communication form for humans. Obviously, there are manifold applications opening up for general technical and computer systems, once they are able to recognise speech as well as humans do—be it for interaction purposes with humans, mediation purposes between humans, or speech retrieval. Here, state-of-the-art methodology is presented for highly robust speech recognition, nonlinguistic vocalisation recognition, paralinguistic speaker states and traits as exemplified by sentiment, emotion, interest, age, gender, intoxication and sleepiness. All examples stem from the author’s recent work. In particular the latter are chosen from a series of Challenges co-organised by the author at Interspeech from 2009 onwards.