Name
Abstract | ||
|---|---|---|
Many signal processing algorithms have been proposed to improve the quality of speech recorded in the presence of noise and reverberation. Perceptual measures, i.e., listening tests, are usually considered the most reliable way to evaluate the quality of speech processed by such algorithms but are costly and time-consuming. Consequently, speech enhancement algorithms are often evaluated using sign... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TASLP.2019.2912123 | IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) |
Keywords | Field | DocType |
Modulation,Acoustic measurements,Speech enhancement,Acoustics,Signal processing algorithms,Prediction algorithms | Speech enhancement,Reverberation,Pattern recognition,Computer science,Recurrent neural network,Active listening,Speech recognition,Modulation,Correlation,Artificial intelligence,Perception,Computation | Journal |
Volume | Issue | ISSN |
27 | 7 | 2329-9290 |
Citations | PageRank | References |
3 | 0.49 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benjamin Cauchi | 1 | 33 | 4.26 |
| Kai Siedenburg | 2 | 3 | 0.83 |
| João Felipe Santos | 3 | 70 | 8.21 |
| Tiago H. Falk | 4 | 525 | 65.20 |
| Simon Doclo | 5 | 782 | 79.31 |
| Stefan Goetze | 6 | 132 | 15.15 |