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標(biāo)題: Titlebook: Advances in Non-Linear Modeling for Speech Processing; Raghunath S. Holambe,Mangesh S. Deshpande Book 2012 The Author(s) 2012 AM-FM model. [打印本頁]

作者: AMUSE 時(shí)間: 2025-3-21 18:26
書目名稱Advances in Non-Linear Modeling for Speech Processing影響因子(影響力)

書目名稱Advances in Non-Linear Modeling for Speech Processing影響因子(影響力)學(xué)科排名

書目名稱Advances in Non-Linear Modeling for Speech Processing網(wǎng)絡(luò)公開度

書目名稱Advances in Non-Linear Modeling for Speech Processing網(wǎng)絡(luò)公開度學(xué)科排名

書目名稱Advances in Non-Linear Modeling for Speech Processing被引頻次

書目名稱Advances in Non-Linear Modeling for Speech Processing被引頻次學(xué)科排名

書目名稱Advances in Non-Linear Modeling for Speech Processing年度引用

書目名稱Advances in Non-Linear Modeling for Speech Processing年度引用學(xué)科排名

書目名稱Advances in Non-Linear Modeling for Speech Processing讀者反饋

書目名稱Advances in Non-Linear Modeling for Speech Processing讀者反饋學(xué)科排名

作者: GUMP 時(shí)間: 2025-3-21 20:51

作者: 浪費(fèi)時(shí)間 時(shí)間: 2025-3-22 02:08

作者: 審問,審訊 時(shí)間: 2025-3-22 05:33

作者: 疲憊的老馬 時(shí)間: 2025-3-22 09:11
https://doi.org/10.1057/9781403982391er Energy Operator is probably the field where most of the research regarding the operator has been done so far. Energy separation algorithm using TEO is then discussed and finally its noise suppression capability is presented.

作者: Fortuitous 時(shí)間: 2025-3-22 13:01
https://doi.org/10.1007/978-1-4899-7600-0l assumes that the sound source for the voiced speech is localized in the larynx and the vocal tract acts as a convolution filter for the emitted sound. Examples of phenomena not well-captured by the source-filter model include unstable airflow, turbulence and nonlinearities arising from oscillators with time-varying masses.

作者: Offensive 時(shí)間: 2025-3-22 18:56

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作者: 整頓 時(shí)間: 2025-3-23 04:56

作者: 混合,攙雜 時(shí)間: 2025-3-23 09:30
Nonlinear Measurement and Modeling Using Teager Energy Operator,achtung gerade auf genaue Beibehaltung der Fragestellung und des Erhebungsobjektes geachtet werden mu?. Dies gilt selbst für die noch junge ?Panel?-Methode (s. u.), die ?u?erlich gesehen zwischen Marktuntersuchung und Marktbeobachtung zu stehen scheint.

作者: Pamphlet 時(shí)間: 2025-3-23 12:46

作者: 思考而得 時(shí)間: 2025-3-23 15:34

作者: Peculate 時(shí)間: 2025-3-23 18:50

作者: 憤憤不平 時(shí)間: 2025-3-24 01:55

作者: 指令 時(shí)間: 2025-3-24 06:03
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

作者: Electrolysis 時(shí)間: 2025-3-24 08:51

作者: labile 時(shí)間: 2025-3-24 11:55
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

作者: Asseverate 時(shí)間: 2025-3-24 15:20

作者: Unsaturated-Fat 時(shí)間: 2025-3-24 20:28

作者: anachronistic 時(shí)間: 2025-3-25 03:03
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

作者: anarchist 時(shí)間: 2025-3-25 04:51

作者: 調(diào)整校對(duì) 時(shí)間: 2025-3-25 09:03
https://doi.org/10.1007/978-3-642-23144-5ic information embedded in speech signal. In a larger context, speaker recognition belongs to the field of biometrics, which refers to authenticating persons based on their physical and/or learned characteristics. There has long been a desire to be able to identify a person on the basis of his or he

作者: 平躺 時(shí)間: 2025-3-25 13:02
Advances in Non-Linear Modeling for Speech Processing978-1-4614-1505-3Series ISSN 2191-737X Series E-ISSN 2191-7388

作者: 表臉 時(shí)間: 2025-3-25 18:46
https://doi.org/10.1057/9781403982391a wide range of engineering disciplines, including digital signal processing. It is also important and challenging to develop the nonlinear framework for speech processing because of the well known nonlinearities in the human speech production mechanism.

作者: SAGE 時(shí)間: 2025-3-25 21:00