Conference item
Nonlinear, biophysically-informed speech pathology detection
- Abstract:
-
This paper reports a simple nonlinear approach to online acoustic speech pathology detection for automatic screening purposes. Straight-forward linear preprocessing followed by two nonlinear measures, based parsimoniously upon the biophysics of speech production, combined with subsequent linear classification, achieves an overall normal/pathological detection performance of 91.4%, and over 99% with rejection of 15% ambiguous cases. This compares favourably with more complex, computationally i...
Expand abstract
Actions
Authors
Bibliographic Details
- Volume:
- 2
- Host title:
- ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
- Publication date:
- 2006-01-01
- ISSN:
-
1520-6149
- Source identifiers:
-
318904
- ISBN-10:
- 142440469X
- ISBN-13:
- 9781424404698
Item Description
- Pubs id:
-
pubs:318904
- UUID:
-
uuid:e356007e-6de2-4de9-a260-653fd6cb4481
- Local pid:
- pubs:318904
- Deposit date:
- 2013-11-17
Terms of use
- Copyright date:
- 2006
If you are the owner of this record, you can report an update to it here: Report update to this record