Fast locally linear embedding algorithm for exemplar-based voice conversion
The locally linear embedding (LLE) algorithm has been proven to have high output quality and applicability for voice conversion (VC) tasks. However, the major shortcoming of the LLE-based VC approach is the time complexity (especially in the matrix inversion process) during the conversion phase. In...
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| Vydáno v: | APSIPA ASC 2017 : proceedings, ninth Asia-Pacific Signal and Information Processing Association Annual Summit and Conference : 12-15 December 2017, Kuala Lumpur, Malaysia s. 591 - 595 |
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01.12.2017
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| Abstract | The locally linear embedding (LLE) algorithm has been proven to have high output quality and applicability for voice conversion (VC) tasks. However, the major shortcoming of the LLE-based VC approach is the time complexity (especially in the matrix inversion process) during the conversion phase. In this paper, we propose a fast version of the LLE algorithm that significantly reduces the complexity. In the proposed method, each locally linear patch on the data manifold is described by a pre-computed cluster of exemplars, and thus the major part of on-line computation can be carried out beforehand in the off-line phase. Experimental results demonstrate that the VC performance of the proposed fast LLE algorithm is comparable to that of the original LLE algorithm and that a real-time VC system becomes possible because of the highly reduced time complexity. |
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| AbstractList | The locally linear embedding (LLE) algorithm has been proven to have high output quality and applicability for voice conversion (VC) tasks. However, the major shortcoming of the LLE-based VC approach is the time complexity (especially in the matrix inversion process) during the conversion phase. In this paper, we propose a fast version of the LLE algorithm that significantly reduces the complexity. In the proposed method, each locally linear patch on the data manifold is described by a pre-computed cluster of exemplars, and thus the major part of on-line computation can be carried out beforehand in the off-line phase. Experimental results demonstrate that the VC performance of the proposed fast LLE algorithm is comparable to that of the original LLE algorithm and that a real-time VC system becomes possible because of the highly reduced time complexity. |
| Author | Wang, Hsin-Min Wu, Yi-Chiao Peng, Yu-Huai Hsu, Chin-Cheng Hwang, Hsin-Te Tsao, Yu Liu, Yi-Wen |
| Author_xml | – sequence: 1 givenname: Yu-Huai surname: Peng fullname: Peng, Yu-Huai organization: National Tsinghua University, Hsinchu, Taiwan – sequence: 2 givenname: Chin-Cheng surname: Hsu fullname: Hsu, Chin-Cheng organization: Institute of Information Science, Academia Sinica, Taipei, Taiwan – sequence: 3 givenname: Yi-Chiao surname: Wu fullname: Wu, Yi-Chiao organization: Institute of Information Science, Academia Sinica, Taipei, Taiwan – sequence: 4 givenname: Hsin-Te surname: Hwang fullname: Hwang, Hsin-Te organization: Institute of Information Science, Academia Sinica, Taipei, Taiwan – sequence: 5 givenname: Yi-Wen surname: Liu fullname: Liu, Yi-Wen organization: National Tsinghua University, Hsinchu, Taiwan – sequence: 6 givenname: Yu surname: Tsao fullname: Tsao, Yu organization: Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan – sequence: 7 givenname: Hsin-Min surname: Wang fullname: Wang, Hsin-Min organization: Institute of Information Science, Academia Sinica, Taipei, Taiwan |
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| PublicationTitle | APSIPA ASC 2017 : proceedings, ninth Asia-Pacific Signal and Information Processing Association Annual Summit and Conference : 12-15 December 2017, Kuala Lumpur, Malaysia |
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| Snippet | The locally linear embedding (LLE) algorithm has been proven to have high output quality and applicability for voice conversion (VC) tasks. However, the major... |
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| SubjectTerms | Clustering algorithms Dictionaries Feature extraction Manifolds Speech Time complexity |
| Title | Fast locally linear embedding algorithm for exemplar-based voice conversion |
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