Name
Abstract | ||
|---|---|---|
Research toward machine analysis of acoustical signals is described. The approach is that of the expert system, where knowledge about the physical world that produced the signals is used by the system in the interpretation process. Expert systems have already matched human capabilities in applications such as chemical structure analysis and certain areas of medical diagnosis, suggesting that acoustical signal analysis will meet with similar success. The paper describes aspects of knowledge representation and signal processing methods of an experimental computer program that is being used as a vehicle for development of AI techniques in the processing of acoustic signals. |
Year | DOI | Venue |
|---|---|---|
1983 | 10.1016/0031-3203(83)90078-X | Pattern Recognition |
Keywords | Field | DocType |
Expert system,Signal classification,Line detection,Artificial intelligence,Knowledge representation | Signal processing,Descriptive knowledge,Knowledge representation and reasoning,Experimental system,Computer science,Interpretation Process,Expert system,Artificial intelligence,Confidence factor,Machine learning,Medical diagnosis | Journal |
Volume | Issue | ISSN |
16 | 6 | 0031-3203 |
Citations | PageRank | References |
9 | 2.36 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joseph N. Maksym | 1 | 10 | 4.52 |
| Anthony J. Bonner | 2 | 733 | 422.63 |
| C. Ann Dent | 3 | 9 | 2.36 |
| Gavin L. Hemphill | 4 | 9 | 2.36 |