Name
Abstract | ||
|---|---|---|
Acoustic metrics extracted from speech have the potential to serve as novel biomarkers for a variety of neurological and neurodevelopmental conditions, as is evidenced by the rapidly growing corpus of research articles studying the links between brain impairments and speech. In this paper, we discuss the advantages and the disadvantages of speech biomarkers and the various challenges in the design... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ACCESS.2015.2457392 | IEEE Access |
Keywords | Field | DocType |
Speech processing,Speech recognition,Biomarkers,Acoustic measurements,Brain injuries | Speech processing,Computer science,Speech recognition,Concussion | Journal |
Volume | ISSN | Citations |
3 | 2169-3536 | 4 |
PageRank | References | Authors |
0.53 | 17 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christian Poellabauer | 1 | 529 | 60.18 |
| Nikhil Yadav | 2 | 21 | 2.47 |
| Louis Daudet | 3 | 4 | 0.87 |
| Sandra L. Schneider | 4 | 7 | 1.62 |
| Carlos Busso | 5 | 1616 | 93.04 |
| Patrick J. Flynn | 6 | 4405 | 307.04 |