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Speaker Verification Method Based on Two-Layer GMM ...
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由 Q He 著作2017被引用 3 次 — In order to improve speaker verification accuracy in the complex environment, a two-layer Gaussian mixture model-universal background model ...
Speaker Verification Method Based on Two-Layer GMM-UBM ...
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由 Q He 著作2017被引用 3 次 — In order to improve speaker verification accuracy in the complex environment, a two-layer Gaussian mixture model-universal background model ...
Speaker Verification Method Based on Two-Layer GMM- ...
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In order to improve speaker verification accuracy in the complex environment, a two-layer Gaussian mixture model-universal background model (GMM-UBM) model ...
Speaker Verification Method Based on Two-Layer GMM ...
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Speaker Verification Method Based on Two-Layer GMM-UBM Model in the Complex Environment ... Xu, L., Yang, Z.: Speaker identification based on state space model.
Speaker Verification Method Based on Two-Layer GMM-UBM Model ...
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In order to improve speaker verification accuracy in the complex environment, a two-layer Gaussian mixture model-universal background model (GMM-UBM) model ...
Speaker verification using Gaussian Mixture Model
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A Gaussian mixture model-universal background model (GMM-UBM) was proposed in [11] for speaker verification, and the proposed system included preprocessing, ...
Speaker verification using Gaussian Mixture Model
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Speaker Verification Method Based on Two-Layer GMM-UBM Model in the Complex Environment · Improved Gaussian mixture model and application in speaker recognition.
On the Background Model Construction for Speaker ...
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由 A Padrta 著作2004被引用 6 次 — A method of speaker verification based on Gaussian mixture models is presented in this paper. The method works with a background model which is composed of ...
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Deep Speaker Representation Learning in ...
Department of Computer Science and Engineering - HKUST
https://cse.hkust.edu.hk › phd-thesis-yingke
Department of Computer Science and Engineering - HKUST
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由 ZHU Yingke 著作2022被引用 1 次 — GMM-UBM-MAP, short for Gaussian Mixture Model-Universal Background Model with maximum a posteriori, has dominated speaker recognition area for decades. It ...
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Machine Learning for Text-Independent Speaker Verification
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由 S Imoscopi 著作2016 — The aim of speaker recognition and verification is to identify people's identity from the characteristics of their voices (voice biometrics).
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