Classification of speech dysfluencies with MFCC and LPCC features

@article{Ai2012ClassificationOS,
  title={Classification of speech dysfluencies with MFCC and LPCC features},
  author={Ooi Chia Ai and M. Hariharan and Sazali Yaacob and Lim Sin Chee},
  journal={Expert Syst. Appl.},
  year={2012},
  volume={39},
  pages={2157-2165}
}
The goal of this paper is to discuss comparison of speech parameterization methods: Mel-Frequency Cepstrum Coefficients (MFCC) and Linear Prediction Cepstrum Coefficients (LPCC) for recognizing the stuttered events. Speech samples from UCLASS are used for our analysis. The stuttered events are identified through manual segmentation and used for feature extraction. Two simple classifiers are used for testing the proposed features. Conventional validation method is used for testing the… CONTINUE READING
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