Titlebook: Language Identification Using Excitation Source Features; K. Sreenivasa Rao,Dipanjan Nandi Book 2015 The Author(s) 2015 Anguage Identifica

Nucleate

K. Sreenivasa Rao,Dipanjan Nandithoden fokussiert und gegenüber ?konomisch domierten Ans?tzen her-vorge-hoben werden. Schlie?lich 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 vorliegende

Dedication

delta-waves

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 language

Externalize

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

壓迫

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

宴會(huì)

gospel

不足的東西

BLANK

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