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Stress, Affective State and Voice

You feel exhausted, overextended with your daily grind? In this case the best remedy is to go for a 20-minute walk, ride a bicycle, or do some sport — all this on a regular basis. And things will improve: you increasingly feel better motivated and confident with lots of energy. Is this optimistic picture just an abstract theory, pretentious nonsense, nothing but claptrap? You can find this out yourself in an "objective" way by means of computerized voice analyses, as speaking behavior and voice sound characteristics are greatly influenced by the affective state of the speaker.

Test Stress Level and Affective State in Just 3 Minutes

We have developed an easy-to-use App that directly installs on laptop, tablet, or smartphone. Based on normative data from clinical studies, this App allows users to monitor their affective states over time through daily 2-minute voice recordings. A recording involves: (1) invoking the App; (2) adjusting microphone volume; (3) counting from 1 to 30 with normal voice; and (4) reading out loud a standard text. The results of new recordings are compared with all previous results (cf. Figure 13). The "voice app" has been tested extensively by 120 students and is available through the Google Play Store — see our scientific article.

recording app

Voice App: Documentation and Instructions for Use

Get involved in "natural" health issues and enjoy the benefits of health prevention . VoiceAppBanner
For details visit [ifma-health.com].
voice analysis
voice analysis
Fig. 13: Pause duration (red bars) and loudness (green bars) over 18 days: The upper half displays a systematic trend towards shorter pauses and an increased loudness which may indicate certain habituation effects. The lower half demonstrates the stability of speech parameters over time except for day 12 where longer pauses and a reduced loudness suggest that the test person was tired or had lacked motivation.

Partners:
Everis, Spain
ETH, Switzerland
UZH, Switzerland
Freiburg, Germany
MA Systems, UK
Bristol, UK
Xiwrite, Italy
Ultrasis, UK
Jaume, Spain
Valencia, Spain
Lanzhou, China

 

EU-Grant (FP7):
248544

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