ISCA Archive Interspeech 2005
ISCA Archive Interspeech 2005

A support vector approach to the acoustic-to-articulatory mapping

Asterios Toutios, Konstantinos Margaritis

We report work on mapping the acoustic speech signal, parametrized using Mel Frequency Cepstral Analysis, onto electromagnetic articulography trajectories from the MOCHA database. We employ the machine learning technique of Support Vector Regression, contrasting previous works that applied Neural Networks to the same task. Our results are comparable to those older attempts, even though, due to training time considerations, we use a much smaller training set, derived by means of clustering the acoustic data.


doi: 10.21437/Interspeech.2005-850

Cite as: Toutios, A., Margaritis, K. (2005) A support vector approach to the acoustic-to-articulatory mapping. Proc. Interspeech 2005, 3221-3224, doi: 10.21437/Interspeech.2005-850

@inproceedings{toutios05_interspeech,
  author={Asterios Toutios and Konstantinos Margaritis},
  title={{A support vector approach to the acoustic-to-articulatory mapping}},
  year=2005,
  booktitle={Proc. Interspeech 2005},
  pages={3221--3224},
  doi={10.21437/Interspeech.2005-850}
}