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.
Cite as: Brindöpke, C., Fink, G.A., Kummert, F., Sagerer, G. (1998) A HMM-based recognition system for perceptive relevant pitch movements of spontaneous German speech. Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998), paper 0503, doi: 10.21437/ICSLP.1998-163
@inproceedings{brindopke98_icslp, author={Christel Brindöpke and Gernot A. Fink and Franz Kummert and Gerhard Sagerer}, title={{A HMM-based recognition system for perceptive relevant pitch movements of spontaneous German speech}}, year=1998, booktitle={Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998)}, pages={paper 0503}, doi={10.21437/ICSLP.1998-163}, issn={2958-1796} }