| Title |
Automated Intelligibility Assessment of Pathological Speech Using Phonological Features
|
|---|---|
| Published in |
ADS, May 2009
|
| DOI | 10.1155/2009/629030 |
| Authors |
Catherine Middag, Jean-Pierre Martens, Gwen Van Nuffelen, Marc De Bodt |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Spain | 1 | 3% |
| Netherlands | 1 | 3% |
| India | 1 | 3% |
| Unknown | 28 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 28% |
| Researcher | 6 | 19% |
| Student > Master | 4 | 13% |
| Professor > Associate Professor | 3 | 9% |
| Student > Postgraduate | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 3 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 7 | 22% |
| Computer Science | 7 | 22% |
| Linguistics | 5 | 16% |
| Medicine and Dentistry | 3 | 9% |
| Nursing and Health Professions | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 3 | 9% |