An intrusive method for estimating speech intelligibility from noisy and distorted signals

An objective metric that predicts speech intelligibility under different types of noise and distortion would be desirable in voice communication. To date, the majority of studies concerning speech intelligibility metrics have focused on predicting the effects of individual noise or distortion mechan...

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Bibliographic Details
Published in:The Journal of the Acoustical Society of America 2021-09, Vol.150 (3), p.1762-1778
Main Authors: Mamun, Nursadul, Zilany, Muhammad S. A., Hansen, John H. L., Davies-Venn, Evelyn E.
Format: Article
Language:English
Subjects:
Hearing Tests
Humans
Noise - adverse effects
Speech Communication
Speech Intelligibility
Speech Perception
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Summary:An objective metric that predicts speech intelligibility under different types of noise and distortion would be desirable in voice communication. To date, the majority of studies concerning speech intelligibility metrics have focused on predicting the effects of individual noise or distortion mechanisms. This study proposes an objective metric, the spectrogram orthogonal polynomial measure (SOPM), that attempts to predict speech intelligibility for people with normal hearing under adverse conditions. The SOPM metric is developed by extracting features from the spectrogram using Krawtchouk moments. The metric's performance is evaluated for several types of noise (steady-state and fluctuating noise), distortions (peak clipping, center clipping, and phase jitters), ideal time-frequency segregation, and reverberation conditions both in quiet and noisy environments. High correlation (0.97–0.996) is achieved with the proposed metric when evaluated with subjective scores by normal-hearing subjects under various conditions.
ISSN:0001-4966
1520-8524
DOI:10.1121/10.0005899