Abstract
Two class-separability criteria based on the divergence measure are proposed to improve speech recognition performance. The average and weighted average divergence measures are used as criteria for finding a transformation matrix which maps the original features into a more discriminative subspace. Results are presented for a highly confusable task.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 343-345 |
| Number of pages | 3 |
| Journal | IEEE Transactions on Speech and Audio Processing |
| Volume | 7 |
| Issue number | 3 |
| DOIs | |
| State | Published - 1999 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Acoustics and Ultrasonics
Cite this
Improved speech recognition using a subspace projection approach. / Loizou, Philipos C.; Spanias, Andreas.
In: IEEE Transactions on Speech and Audio Processing, Vol. 7, No. 3, 1999, p. 343-345.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Improved speech recognition using a subspace projection approach
AU - Loizou, Philipos C.
AU - Spanias, Andreas
PY - 1999
Y1 - 1999
N2 - Two class-separability criteria based on the divergence measure are proposed to improve speech recognition performance. The average and weighted average divergence measures are used as criteria for finding a transformation matrix which maps the original features into a more discriminative subspace. Results are presented for a highly confusable task.
AB - Two class-separability criteria based on the divergence measure are proposed to improve speech recognition performance. The average and weighted average divergence measures are used as criteria for finding a transformation matrix which maps the original features into a more discriminative subspace. Results are presented for a highly confusable task.
UR - http://www.scopus.com/inward/record.url?scp=0032667670&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0032667670&partnerID=8YFLogxK
U2 - 10.1109/89.759044
DO - 10.1109/89.759044
M3 - Article
AN - SCOPUS:0032667670
VL - 7
SP - 343
EP - 345
JO - IEEE Transactions on Speech and Audio Processing
JF - IEEE Transactions on Speech and Audio Processing
SN - 1558-7916
IS - 3
ER -