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|Title:||Comparison of speech recognition techniques in a noisy environment||Authors:||Tan, Chin Tuan.||Keywords:||DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems||Issue Date:||1995||Abstract:||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.||URI:||http://hdl.handle.net/10356/19688||Rights:||NANYANG TECHNOLOGICAL UNIVERSITY||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Theses|
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