讽刺文章 发表于 2025-3-21 19:48:44

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innate 发表于 2025-3-21 23:10:30

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忧伤 发表于 2025-3-22 02:03:50

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滔滔不绝的人 发表于 2025-3-22 05:31:14

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障碍物 发表于 2025-3-22 10:40:12

Defence and Security: New Issues and Impactsecognition process may perform better. Alternatively, wavelet-based features can be added to other successful features to improve recognition performance. Third, wavelets can serve as an activation function in neural-networks employed for speech recognition. Hybrid methodology may comprise a mix of one or more approaches.

archaeology 发表于 2025-3-22 15:25:48

https://doi.org/10.1007/978-3-319-52836-6quency regions while the Mel scale gets coarser in the higher-frequency bands. The speaker’s individual information, which is nonuniformly distributed in the high-frequency bands, is equally important for speaker recognition. Accordingly, wavelet-based features are more appropriate.

debase 发表于 2025-3-22 17:10:11

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Incumbent 发表于 2025-3-22 22:29:34

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CURT 发表于 2025-3-23 02:58:56

Emerging Technologies for EducationLike ASR, emotion recognition can benefit from the merits of wavelet analysis. Similar methodologies may be followed based on WT similar to that used in speech recognition. Mainly, it is realized in literatures that WP parameters are responsive to emotions. Also, many results prove that wavelet-based features improve emotion recognition.

GRAIN 发表于 2025-3-23 05:55:14

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查看完整版本: Titlebook: Application of Wavelets in Speech Processing; Mohamed Hesham Farouk Book 2018Latest edition The Author(s) 2018 Multiresolution Analysis.Sh