Detection of cardiovascular reactivity in speech

Research output: Contribution to journalConference articlepeer-review


The feasibility of automatically detecting cardiovascular reactivity from speech was investigated. There are studies that have shown success in detecting heart rate in the speech signal before but cardiovascular reactivity has not been looked at as well. Gender-specific, speaker-independent Gaussian mixture models were trained on speech during high and low cardiovascular reactivity and classification implemented using a cosine distance scoring (ivector) approach. Using five distinct criteria to determine whether classification was meaningful, we found clear indication that cardiovascular reactivity affects the voice in a manner that makes it automatically detectable in speech. As such it may become a powerful new information source for estimating various physiological conditions from speech.

Original languageEnglish
Pages (from-to)1111-1115
Number of pages5
JournalProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Publication statusPublished - 2015
Event16th Annual Conference of the International Speech Communication Association, INTERSPEECH 2015 - Dresden, Germany
Duration: 6 Sept 201510 Sept 2015

Bibliographical note

Publisher Copyright:
Copyright © 2015 ISCA.

Other keywords

  • Biometric data
  • Cardiovascular monitoring
  • Cognitive load
  • Emotion recognition
  • Speech analysis


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