Spoken language translation using hidden Markov models
Date of Issue2010
School of Electrical and Electronic Engineering
In this project, a speaker independent Spoken Language Translation (SLT) system is designed. The main purpose of the system is to recognize a small database of isolated words in daily use. The whole system can be divided to two basic modules: training module and recognition module.
DRNTU::Engineering::Electrical and electronic engineering
Nanyang Technological University