Name
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-frequ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TASLP.2015.2507858 | IEEE/ACM Transactions on Audio, Speech, and Language Processing |
Keywords | Field | DocType |
Indexes,Auditory system,Speech,Music,Hearing aids,Nonlinear distortion,Maximum likelihood detection | Correlation coefficient,Maximum likelihood detection,Hearing aid,Computer science,Auditory system,Active listening,Sound quality,Speech recognition,Hearing loss,Nonlinear distortion | Journal |
Volume | Issue | ISSN |
24 | 2 | 2329-9290 |
Citations | PageRank | References |
3 | 0.49 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| James M. Kates | 1 | 20 | 1.86 |
| Kathryn Hoberg Arehart | 2 | 53 | 5.37 |