Time-domain non-linear feature parameter for consonant classification

@article{Thasleema2012TimedomainNF,
  title={Time-domain non-linear feature parameter for consonant classification},
  author={T. M. Thasleema and P. Prajith and N. K. Narayanan},
  journal={I. J. Speech Technology},
  year={2012},
  volume={15},
  pages={227-239}
}
This paper introduces an accurate time–domain approach to model and classify the Malayalam consonantVowel (CV) speech unit waveforms. The technique is based on statistical models of Reconstructed State Space (RSS). A feature extraction method using RSS based State Space Point Distribution (SSPD) parameters are studied. The results of the simulation experiment performed on the Malayalam CV speech databases using Artificial Neural Network (ANN) and k-Nearest Neighborhood (k-NN) classifiers are… CONTINUE READING

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