Name
Abstract | ||
|---|---|---|
Speech sound disorder (SSD) in children refers to persistent errors in producing certain speech sounds after the expected age of acquisition. This demonstration system performs automated assessment of SSD for Cantonese-speaking pre-school children. The system comprises a mobile application software, a back-end automatic speech recognition (ASR) system for child speech, and a clinically informed assessment scheme. It can be used to detect and identify suspected SSD symptoms at an early stage. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ISCSLP.2018.8706577 | 2018 11th International Symposium on Chinese Spoken Language Processing (ISCSLP) |
Keywords | Field | DocType |
Servers,Speech recognition,Tools,Acoustics,Decoding,Mobile applications,Task analysis | Speech sounds,Speech sound disorder,Task analysis,Computer science,Server,Speech recognition,Age of Acquisition,Decoding methods,Application software | Conference |
ISBN | Citations | PageRank |
978-1-5386-5627-3 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Si Ioi Ng | 1 | 0 | 0.68 |
| Dehua Tao | 2 | 0 | 1.01 |
| Jiarui Wang | 3 | 7 | 3.48 |
| Yi Jiang | 4 | 262 | 20.79 |
| Wing Yee Ng | 5 | 0 | 0.68 |
| Tan Lee | 6 | 476 | 74.69 |