Comparison of speech recognition techniques in a noisy environment.
Tan, Chin Tuan.
Date of Issue1995
School of Electrical and Electronic Engineering
In most speech recognition evaluation studies, the focus is usually on one single speech recognition technique such as Discrete Hidden Markov Modeling with codebooks of different sizes. Inter-technique comparison study using a com-mon database has not been systematically explored. In this thesis, a com-parative study on three speech recognition techniques namely, Dynamic Time Warping (DTW), Discrete Hidden Markov Modeling (DHMM) and Neural Net-work(Multilayer Perceptron) (NN(MLP)) was conducted using one common database.
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
NANYANG TECHNOLOGICAL UNIVERSITY