5th International Conference on Spoken Language Processing
This paper presents an HMM-based recognition system for perceptive relevant pitch movements of spontaneous German speech. The pitch movements are defined according to the perceptively and phonetically motivated IPO-approach to intonation. For recognition we use a hybrid approach combining polynomial classification with Hidden Markov Modelling. The recognition is based only on the speech signal, its fundamental frequency and eleven derived features. We evaluate the system on a speaker independent recognition task.
Bibliographic reference. Brindöpke, Christel / Fink, Gernot A. / Kummert, Franz / Sagerer, Gerhard (1998): "A HMM-based recognition system for perceptive relevant pitch movements of spontaneous German speech", In ICSLP-1998, paper 0503.