Nucleate 发表于 2025-3-23 09:47:47
K. Sreenivasa Rao,Dipanjan Nandithoden fokussiert und gegenüber ökonomisch domierten Ansätzen her-vorge-hoben werden. Schließlich ist alles, was im Handel geschieht, letztlich im menschlichen Verhalten der Kun-den, Mitarbeiter, Manager, Unternehmer, Wettbewerber, Lieferanten, Part-ner und Beeinflus-ser begründet...Das vorliegendeDedication 发表于 2025-3-23 16:07:19
http://reply.papertrans.cn/59/5810/580927/580927_12.pngdelta-waves 发表于 2025-3-23 20:38:01
Book 2015ce features are also investigated for LID in background noisy environments. Each chapter of this book provides the motivation for exploring the specific feature for LID task, and subsequently discuss the methods to extract those features and finally suggest appropriate models to capture the languageExternalize 发表于 2025-3-24 00:54:18
Implicit Excitation Source Features for Language Identification,mental and supra-segmental levels to capture different aspects of excitation source information for LID task. Further, LID systems are developed by combining the evidences obtained from LID systems built using individual features.GNAW 发表于 2025-3-24 03:23:05
http://reply.papertrans.cn/59/5810/580927/580927_15.png压迫 发表于 2025-3-24 09:24:22
Book 2015 of speech for enhancement of language identification (LID) performance. Language specific features are extracted using two different modes: (i) Implicit processing of linear prediction (LP) residual and (ii) Explicit parameterization of linear prediction residual. The book discusses how in implicit宴会 发表于 2025-3-24 13:26:16
http://reply.papertrans.cn/59/5810/580927/580927_17.pnggospel 发表于 2025-3-24 17:10:19
http://reply.papertrans.cn/59/5810/580927/580927_18.png不足的东西 发表于 2025-3-24 21:55:11
http://reply.papertrans.cn/59/5810/580927/580927_19.pngBLANK 发表于 2025-3-24 23:21:23
Implicit Excitation Source Features for Language Identification,tation source features such as raw LP residual samples, its magnitude and phase components are processed at three different levels: sub-segmental, segmental and supra-segmental levels to capture different aspects of excitation source information for LID task. Further, LID systems are developed by co