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Comparing Emotion Recognition and Word Recognition in Background Noise.

Shae D Morgan¹

¹Department of Otolaryngology - Head and Neck Surgery and Communicative Disorders, University of Louisville, KY.

Journal of Speech, Language, and Hearing Research : JSLHR

|April 8, 2021

Summary

Listeners can better recognize emotions than words in noisy environments. Speech emotion recognition is less affected by background noise than word recognition, especially for high-arousal emotions.

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Area of Science:

Auditory perception
Speech processing
Psychoacoustics

Background:

Word recognition in noise is well-studied.
Suprasegmental speech information (e.g., emotion) recognition is less understood.
Psychoacoustic properties of emotion recognition are not well-defined.

Purpose of the Study:

Directly compare emotion and word recognition in noise.
Identify psychoacoustic properties of emotion recognition.
Relate emotion recognition to word recognition.

Main Methods:

Twenty young adults with normal hearing participated.
Listeners identified target words or talker emotions (angry, calm, happy, sad) in sentences.
Performance was measured across four signal-to-noise ratios with white noise.

Main Results:

Emotion recognition thresholds were ~10 dB better than word recognition.
Emotion recognition slopes were half those of word recognition.
Low-arousal emotions showed poorer thresholds and shallower slopes than high-arousal emotions.

Conclusions:

Talker's emotional state is perceptible in noise, even when words are inaudible.
Speech emotion recognition is more robust to background noise than word recognition.
Emotional arousal impacts the ability to discriminate between emotion categories.