대한음성학회지:말소리 (MALSORI)
- 제66호
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- Pages.105-116
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- 2008
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- 1226-1173(pISSN)
Greedy Kernel PCA를 이용한 화자식별
Speaker Identification Using Greedy Kernel PCA
- 발행 : 2008.06.30
초록
In this research, we propose a speaker identification system using a kernel method which is expected to model the non-linearity of speech features well. We have been using principal component analysis (PCA) successfully, and extended to kernel PCA, which is used for many pattern recognition tasks such as face recognition. However, we cannot use kernel PCA for speaker identification directly because the storage required for the kernel matrix grows quadratically, and the computational cost grows linearly (computing eigenvector of