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| Content Provider | ACM Digital Library |
|---|---|
| Author | Kates, James M. Arehart, Kathryn H. |
| Copyright Year | 2016 |
| Abstract | This paper presents an index designed to predict music quality for individuals listening through hearing aids. The index is "intrusive," that is, it compares the degraded signal being evaluated to a reference signal. The index is based on a model of the auditory periphery that includes the effects of hearing loss. Outputs from the auditory model are used to measure changes in the signal time-frequency envelope modulation, temporal fine structure, and long-term spectrum caused by the hearing aid processing. The index is constructed by combining a term sensitive to noise and nonlinear distortion with a second term sensitive to changes in the long-term spectrum. The index is fitted to an existing database of music quality judgments made by listeners having normal or impaired hearing. The data comprise ratings for three music excerpts (classical orchestra, jazz trio, and jazz singer), each processed through 100 conditions representative of hearing-aid processing and listening situations. The overall accuracy of the index is high, with a correlation coefficient of 0.970 when computed over all of the processing conditions and averaged over the combined groups of listeners having normal and impaired hearing. |
| Starting Page | 354 |
| Ending Page | 365 |
| Page Count | 12 |
| File Format | |
| ISSN | 23299290 |
| e-ISSN | 23299304 |
| DOI | 10.1109/TASLP.2015.2507858 |
| Volume Number | 24 |
| Issue Number | 2 |
| Journal | IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-02-01 |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Hearing aids Hearing loss Music quality measures Objective audio quality measures |
| Content Type | Text |
| Resource Type | Article |
| Subject | Instrumentation Computational Mathematics Signal Processing Electrical and Electronic Engineering Acoustics and Ultrasonics Speech and Hearing Media Technology |
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