Ditemukan 1 dokumen yang sesuai dengan query
Mohamad Ivan Fanany
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ABSTRACT
This study describes bispectrum pattern analysis and quantization for identifying speaker in noisy environment. Direct, non-parametric, bispectrum analysis and estimation was performed before quantization and classification process. As for reliable quantization approach this study applied an algorithm of vector quantization method using combined Self Organizing Feature Map (SOFM) and Learning Vector Quantization (LVQ) neural network, to quantize bispectrum of speech data. Since there is no prior knowledge on bispectrum data distribution to determine class information, ...
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1998
T-Pdf
UI - Tesis Membership Universitas Indonesia Library
