Classification of speech dysfluencies with MFCC and LPCC features

  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.},
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
Highly Cited
This paper has 59 citations. REVIEW CITATIONS
32 Citations
34 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 32 extracted citations

60 Citations

Citations per Year
Semantic Scholar estimates that this publication has 60 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 34 references

An approach for objective assessment of stuttered speech using MFCC features

  • K. M. Ravikumar, R. Rajagopal, H. C. Nagaraj
  • ICGST International Journal on Digital Signal…
  • 2009
Highly Influential
7 Excerpts

Automatic detection of prolonged fricative phonemes with the hidden Markov models approach

  • M. Wiśniewski, W. Kuniszyk-Jóźkowiak, E. Smołka, W. Suszyński
  • Journal of Medical Informatics & Technologies,
  • 2007
Highly Influential
7 Excerpts

Similar Papers

Loading similar papers…