Robust Text-Independent Speaker Identification Using Hybrid PCA&LDA

We have been building a text-independent speaker recognition system in noisy conditions. In this paper, we propose a novel feature using hybrid PCA/LDA. The feature is created from the convectional MFCC(mel-frequency cepstral coefficients) by transforming them using a matrix. The matrix consists of...

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Bibliographische Detailangaben

Hauptverfasser:	Kim, Min-Seok, Yu, Ha-Jin, Kwak, Keun-Chang, Chi, Su-Young
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Automatic Speech Recognition Computer science control theory systems Exact sciences and technology Face Recognition Gaussian Mixture Model Information systems. Data bases Linear Discriminant Analysis Memory organisation. Data processing Principal Component Analysis Software
Online-Zugang:	Volltext
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