Heart rate monitoring using human speech spectral features

Alex Pappachen James

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)


This paper attempts to establish a correlation between the human speech, emotions and human heart rate. The study highlights a possible contactless human heart rate measurement technique useful for monitoring of patient condition from real-time speech recordings. The distance between the average peak-to-peak distances in speech Mel-frequency cepstral coefficients are used as the speech features. The features when tested on 20 classifiers from the data collected from 30 subjects indicate a non-separable classification problem, however, the classification accuracies indicate the existence of strong correlation between the human speech, emotion and heart-rates.

Original languageEnglish
Article number33
Pages (from-to)1-12
Number of pages12
JournalHuman-centric Computing and Information Sciences
Issue number1
Publication statusPublished - Dec 1 2015


  • Heart rate
  • Human emotions
  • Mel-frequency cepstral coefficients
  • Speech signal

ASJC Scopus subject areas

  • Computer Science(all)

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