Using SVM as Back-End Classifier for Language Identification
<p/> <p>Robust automatic language identification (LID) is a task of identifying the language from a short utterance spoken by an unknown speaker. One of the mainstream approaches named parallel phone recognition language modeling (PPRLM) has achieved a very good performance. The log-like...
Main Authors: | Suo Hongbin, Li Ming, Lu Ping, Yan Yonghong |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2008-01-01
|
Series: | EURASIP Journal on Audio, Speech, and Music Processing |
Online Access: | http://asmp.eurasipjournals.com/content/2008/674859 |
Similar Items
-
Using SVM as Back-End Classifier for Language Identification
by: Yonghong Yan, et al.
Published: (2008-11-01) -
Identification of epilepsy utilizing hilbert transform and SVM based classifier
by: Talal M Bakhsh, et al.
Published: (2020) -
Multi‐task learning using GNet features and SVM classifier for signature identification
by: Anamika Jain, et al.
Published: (2021-03-01) -
Classifying smoke in laparoscopic videos using SVM
by: Alshirbaji Tamer Abdulbaki, et al.
Published: (2017-09-01) -
AUTOMATIC GENERATION OF DEM USING SVM CLASSIFIER
by: R. Dubey, et al.
Published: (2022-05-01)