Please use this identifier to cite or link to this item:
https://idr.l2.nitk.ac.in/jspui/handle/123456789/8231Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Nayak, J. | - |
| dc.contributor.author | Bhat, P.S. | - |
| dc.date.accessioned | 2020-03-30T10:18:15Z | - |
| dc.date.available | 2020-03-30T10:18:15Z | - |
| dc.date.issued | 2003 | - |
| dc.identifier.citation | IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2003, Vol.2, , pp.951-953 | en_US |
| dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/8231 | - |
| dc.description.abstract | This paper attempts to identify pathological disorders of larynx using Wavelet Analysis. Speech samples carry symptoms of disorder in the place of their origin. The speech signal is subjected to wavelet analysis, and the coefficients are used to identify disorders such as Vocal Fold Paralysis. Multilayer Artificial Neural Network is used for classification of normal and affected signals. | en_US |
| dc.title | Identification of voice disorders using speech samples | en_US |
| dc.type | Book chapter | en_US |
| Appears in Collections: | 2. Conference Papers | |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.