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Published on: June 5, 2016
Whispering - The hidden side of auditory communication
Sascha Frühholz1, Wiebke Trost2, Didier Grandjean3
1Department of Psychology, University of Zurich, Zurich 8050, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich 8057, Switzerland; Center for Integrative Human Physiology (ZIHP), University of Zurich, 8057, Switzerland; Swiss Center for Affective Sciences, University of Geneva, Geneva 1202, Switzerland.
Whispered voices are acoustically poor, requiring significant brain compensation for listeners to understand their emotional content. This study reveals the neural network involved in decoding these socially important, low-quality vocalizations.
Area of Science:
- Neuroscience
- Auditory Processing
- Acoustic Phonetics
Background:
- Whispering is a distinct vocalization mode used in specific social contexts, often linked to emotional states.
- Despite its adaptive nature, whispered speech is acoustically impoverished compared to phonated speech.
- The neural mechanisms for decoding socio-affective information from whispered voices remain largely unexplored.
Purpose of the Study:
- To investigate the acoustic properties of whispered voices.
- To identify the neural processing demands for recognizing socio-affective information from whispered speech.
- To elucidate the brain networks involved in decoding whispered vocalizations.
Main Methods:
- Quantified acoustic information in whispered voices using spectral entropy.
- Compared neural activity elicited by whispered versus phonated voices using neuroimaging techniques.
- Assessed the difficulty in recognizing socio-affective information from different voice types.
Main Results:
- Whispered voices exhibit significantly reduced spectral acoustic information (lower entropy).
- Recognition of socio-affective cues was more challenging in whispered voices due to missing tonal information.
- Phonated voices activated auditory regions, while whispered voices engaged a complex auditory-frontal brain network.
Conclusions:
- Large-scale neural compensation is necessary to process the degraded acoustic quality of whispered voices.
- A complex auditory-frontal network supports the recognition and valence attribution of whispered speech.
- This brain network compensates for impoverished sound to enable accurate interpretation of socially meaningful signals.
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