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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fei Chen Tian Guan |
| Copyright Year | 2013 |
| Description | Author affiliation: Div. of Speech & Hearing Sci., Univ. of Hong Kong, Hong Kong, China (Fei Chen) || Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China (Tian Guan) |
| Abstract | Most existing intelligibility indices require access to the input (clean) reference signal to predict speech intelligibility in noise. In some real-world applications, however, only the noise-masked speech is available, rendering existing indices of little use. The present study assessed the performance of an intelligibility measure that could be used to predict non-intrusively (i.e., with no access to the clean input signal) speech intelligibility in noise using only information extracted from the noise-masked speech envelopes. The proposed intelligibility measure (denoted as ModA) was computed by integrating the area of the modulation spectrum (within 0.5 Hz to 10 Hz) of the noise-masked envelopes extracted in four acoustic bands. The ModA measure was evaluated with intelligibility scores obtained by normal-hearing listeners presented with Mandarin sentences corrupted by three types of maskers. High correlation (r=0.90) was obtained between ModA values and listener's intelligibility scores, suggesting that the modulation-spectrum area could be potentially used as a simple but efficient predictor of speech intelligibility in noisy conditions. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 435484 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479928255 |
| ISSN | 21593450 |
| e-ISBN | 9781479928279 |
| DOI | 10.1109/TENCON.2013.6719062 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-10-22 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Speech Noise Frequency modulation Indexes Noise measurement Correlation intelligibility prediction Non-intrusive intelligibility index |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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