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Language Identification Using Excitation Source Features
Rao, K. Sreenivasa; Nandi, Dipanjan
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Description for Language Identification Using Excitation Source Features
Paperback. Series: SpringerBriefs in Electrical and Computer Engineering. Num Pages: 119 pages, 16 black & white illustrations, 3 colour illustrations, 29 black & white tables, biograph. BIC Classification: CFX; TTBM; UYQL. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 10. Weight in Grams: 215.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2015
Publisher
Springer International Publishing AG Switzerland
Number of pages
119
Condition
New
Series
SpringerBriefs in Electrical and Computer Engineering
Number of Pages
119
Place of Publication
Cham, Switzerland
ISBN
9783319177243
SKU
V9783319177243
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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