Improved statistical speech segmentation using connectionist approach
Problem statement: Speech segmentation is an important part for speech recognition, synthesizing and coding. Statistical based approach detects segmentation points via computing spectral distortion of the signal without prior knowledge of the acoustic information proved to be able to give good match...
Saved in:
Main Authors: | Salam, M. S., Mohamad, Dzulkifli, Salleh, S. H. |
---|---|
Format: | Article |
Published: |
Science Publications
2009
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/15107/ http://dx.doi.org/10.3844/jcs.2009.275.282 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Segmentation of Malay Syllables in Connected Digit Speech Using Statistical Approach
by: Mohamad, Dzulkifli, et al.
Published: (2007) -
A connectionist system approach for learning logic programs
by: Shamsuddin, Siti Mariam, et al.
Published: (2008) -
Insertion reduction in speech segmentation using neural network
by: Salam, M-S, et al.
Published: (2008) -
Connected digit speech segmentation : a Malay speech case using statistical approach with insertion reduction using neural network
by: Ahmad, Abdul Manan, et al.
Published: (2008) -
An experimental result on segmentation of Malay spontaneous connected digit speech using divergence algorithm
by: Mohamad, Dzulkifli, et al.
Published: (2007)