Pamphlet 发表于 2025-3-23 12:46:12

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思考而得 发表于 2025-3-23 15:34:41

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Peculate 发表于 2025-3-23 18:50:06

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愤愤不平 发表于 2025-3-24 01:55:23

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指令 发表于 2025-3-24 06:03:10

Raghunath S. Holambe,Mangesh S. DeshpandeNonlinear aspects of speech signals are covered in depth.Covers nonlinear modeling techniques from the context of speaker identification.New insight is explored to combine the speech production and sp

Electrolysis 发表于 2025-3-24 08:51:39

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labile 发表于 2025-3-24 11:55:24

https://doi.org/10.1057/9781403982391production is approximated via the standard assumptions of linear acoustics and one-dimensional plane wave propagation of the sound in the vocal tract. The linear model has been applied with limited success to applications like speech coding, synthesis and recognition. However, to build successful a

Asseverate 发表于 2025-3-24 15:20:27

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Unsaturated-Fat 发表于 2025-3-24 20:28:38

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anachronistic 发表于 2025-3-25 03:03:48

https://doi.org/10.1057/9781403982391w it can be obtained by considering a second order differential equation, which describes the motion of an object suspended by a spring. This operator is interesting because it has a small time window, making it ideal for local (time) analysis of signals. The analysis of AM–FM signals using the Teag
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查看完整版本: Titlebook: Advances in Non-Linear Modeling for Speech Processing; Raghunath S. Holambe,Mangesh S. Deshpande Book 2012 The Author(s) 2012 AM-FM model.