Abstract
We present a non-linear and non-parametric prediction algorithm for modelling the internal dynamics of the speech signal through a state-space geometric description. The proposed model extracts the intrinsic determinism embedded in the voiced speech signal from comparisons among the observed trajectories in state space. The combination of a metric criterion and frequency similarity results in a model which evolves throughout a quasi-periodic trajectory with a pitch period similar to the speech signal under analysis. Results for voiced frames of this model and comparisons with LPC-based methods are promising at medium bit rates.
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© 1998 Springer Science+Business Media New York
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Docampo, D., Fariña, J.F. (1998). Modelling Signal Dynamics in Voiced Speech Coding. In: Procházka, A., Uhlíř, J., Rayner, P.W.J., Kingsbury, N.G. (eds) Signal Analysis and Prediction. Applied and Numerical Harmonic Analysis. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-1768-8_31
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DOI: https://doi.org/10.1007/978-1-4612-1768-8_31
Publisher Name: Birkhäuser, Boston, MA
Print ISBN: 978-1-4612-7273-1
Online ISBN: 978-1-4612-1768-8
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