Development of isolated Malay words speech recognition prototype using recurrent neural network / Irdhan Sarbini
In this research, a prototype of isolated Malay word speech recognition using recurrent neural network (RNN) is proposed. The research is working on speaker independent, which is combination of male and female respondent. A simple three-layer RNN which is Elman Network is employed to learn the pa...
Saved in:
Main Author: | Sarbini, Irdhan |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2005
|
Online Access: | http://ir.uitm.edu.my/id/eprint/1496/1/TD_IRDHAN%20SARBINI%20CS%2005_5.pdf http://ir.uitm.edu.my/id/eprint/1496/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Isolated word speech recognition of the malay digits
by: Mohamad Nasir, Haidawati, et al.
Published: (2014) -
Recurrent neural network with backpropagation through time for speech recognition
by: Ahmad, A. M., et al.
Published: (2004) -
Study on speaker-dependent-isolated-word malay speech recognition system
by: Khalid, Saiful Akmal
Published: (1991) -
Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network
by: Ahmad Afif, Mohd Faudzi
Published: (2012) -
Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network
by: Ahmad Afif, Mohd Faudzi
Published: (2012)