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pro vyhledávání: '"Yang, Baochen"'
For noisy environments, ensuring the robustness of keyword spotting (KWS) systems is essential. While much research has focused on noisy KWS, less attention has been paid to multi-talker mixed speech scenarios. Unlike the usual cocktail party problem
Externí odkaz:
http://arxiv.org/abs/2406.12447
Designing an efficient keyword spotting (KWS) system that delivers exceptional performance on resource-constrained edge devices has long been a subject of significant attention. Existing KWS search algorithms typically follow a frame-synchronous appr
Externí odkaz:
http://arxiv.org/abs/2403.13332
Customizable keyword spotting (KWS) in continuous speech has attracted increasing attention due to its real-world application potential. While contrastive learning (CL) has been widely used to extract keyword representations, previous CL approaches a
Externí odkaz:
http://arxiv.org/abs/2401.06485
Autor:
Wang, Shuo, Yang, Beining, Mu, Hailin, Dong, Wei, Yang, Baochen, Wang, Xinyi, Yu, Wenqian, Dong, Zhipeng, Wang, Jiawei
Publikováno v:
In Bone October 2024 187
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In Resources Policy July 2024 94
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In Pacific-Basin Finance Journal June 2024 85
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In Research in International Business and Finance April 2024 69
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In North American Journal of Economics and Finance January 2024 70
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In International Review of Economics and Finance November 2023 88:815-842
Publikováno v:
In Research in International Business and Finance October 2023 66