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- W2372759771 abstract "Speech endpoint detection is a crucial component in speech recognition system, especially in noisy environment. Its accuracy affects the computational complexity and the recognition performance of the speech recognition system. This paper proposes an endpoint detection of speech signals based on short-time TEO energy in noisy environment. It uses a three-state transition and judgment mechanism based on double thresholds, which ensures the accuracy in noisy environment and the robustness to changes in absolute levels. Compared with same traditional algorithms such as short-time energy and spectral entropy, experiment results show this algorithm has better detection capability in low signal to noise ratio environments and takes on more advantages." @default.
- W2372759771 created "2016-06-24" @default.
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- W2372759771 date "2013-01-01" @default.
- W2372759771 modified "2023-09-24" @default.
- W2372759771 title "Application of short-time TEO energy in noisy speech endpoint detection" @default.
- W2372759771 hasPublicationYear "2013" @default.
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