ISCA Archive MAVEBA 2005
ISCA Archive MAVEBA 2005

Speech analysis using Higuchi fractal dimension

Jari Turunen, Tarmo Lipping, Juha T. Tanttu

Speech analysis for identification and recognition purposes is a demanding task, especially to find recognition parameters for some consonants. In this paper, we show the initial analysis results of speech corpus, sampled with two sampling rates, 22050 and 8000 Hz, using Higuchi fractal dimension. The study shows that it might be possible to use fractal dimension value for classification of for example plosives /k/, /p/ and /t/. However, the analysis seems to be very sensitive to the sampling frequency in speech analysis.


Cite as: Turunen, J., Lipping, T., Tanttu, J.T. (2005) Speech analysis using Higuchi fractal dimension. Proc. Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 2005), 171-174

@inproceedings{turunen05_maveba,
  author={Jari Turunen and Tarmo Lipping and Juha T. Tanttu},
  title={{Speech analysis using Higuchi fractal dimension}},
  year=2005,
  booktitle={Proc. Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 2005)},
  pages={171--174}
}