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.
A novel feature using hybrid PCA/LDA is proposed, created from the convectional MFCC(mel-frequency cepstral coefficients) by transforming them using a ...
Robust Text-Independent Speaker Identification Using Hybrid PCA&LDA
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Abstract. We have been building a text-independent speaker recognition sys- tem in noisy conditions. In this paper, we propose a novel feature using hybrid.
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.
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Robust text-independent speaker identification using hybrid PCA&LDA. MS Kim, HJ Yu, KC Kwak, SY Chi. Mexican International Conference on Artificial Intelligence ...
Robust Text-Independent Speaker Identification Using Hybrid PCA&LDA · Min-Seok KimHa-jin YuKeun-Chang KwakS. Chi. Computer Science. MICAI. 2006. TLDR. A novel ...
Abstract— This paper introduces and motivates the use of. Gaussian mixture models (GMM) for robust text-independent speaker identification. The individual ...
Missing: PCA&LDA. | Show results with:PCA&LDA.
Aug 7, 2024 · Robust Text-Independent Speaker Identification Using Hybrid PCA&LDA. MICAI 2006: 1067-1074; 2005. [c8]. view. electronic edition via DOI ...
In this paper we discuss the issue of the application of LDA to our Gaussian Mixture Model (GMM) based speaker identification task. Applying LDA improved the ...
Abstract— This paper addresses the issue of closed-set text-independent speaker identification from samples of speech recorded over the telephone.
Missing: Hybrid PCA&LDA.