Extraction of Heart Rate Parameters Using Speech Analysis

نویسندگان

  • Jaswinder Kaur
  • Rupinder Kaur
  • Bjorn Schuller
  • Felix Friedmann
  • Florian Eyben
چکیده

The heart rate variation has been observed when analyzing the speech analysis of a person sitting at remote place. In the presented approach, 20 –30 years age group person’s speech is recorded using the common recording utility for testing purposes. The time duration for speech production is approximately 1 2 minutes. Further, the entropy, energy, power, mean, frequency, standard deviation and variance are computed by statistical analysis of the speech signal. The equations for the same are illustrated in algorithm section of the paper. A correlation is established between the heart rate and features of the speech signal. The validation of the algorithm for correlation between the features and heart rate is the important activity of the work. More and more no. of speech signal samples may be tried out for exact correlation of heart rate and feature vectors.

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تاریخ انتشار 2014