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科图分类法:
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TN912.3 版次： |
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中图分类法:
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TN912.3 版次： |
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著者:
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Rao, K. Sreenivasa |
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题名:
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Language identification using excitation source features / / , |
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出版发行:
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出版地： Cham : 出版社： Springer, 出版日期： c2015 |
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载体形态:
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xii, 119 p. : ill., forms ; 24 cm. |
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内容提要:
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This book discusses the contribution of excitation source information in discriminating language. The authors focus on the excitation source component 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 processing approach, excitation source features are derived from LP residual, Hilbert envelope (magnitude) of LP residual and Phase of LP residual; and in explicit parameterization approach, LP residual signal is processed in spectral domain to extract the relevant language specific features. The authors further extract source features from these modes, which are combined for enhancing the performance of LID systems. The proposed excitation source 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 su |