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Rao, K. Sreenivasa; Reddy, V. Ramu; Maity, Sudhamay - Language Identification Using Spectral and Prosodic Features - 9783319171623 - V9783319171623
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Language Identification Using Spectral and Prosodic Features

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Description for Language Identification Using Spectral and Prosodic Features Paperback. Series: SpringerBriefs in Electrical and Computer Engineering. Num Pages: 98 pages, 16 black & white illustrations, 5 colour illustrations, 18 black & white tables, biography. BIC Classification: CFX; TTBM; UYQL. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 6. Weight in Grams: 186.
This book discusses the impact of spectral features extracted from frame level, glottal closure regions, and pitch-synchronous analysis on the performance of language identification systems. In addition to spectral features, the authors explore prosodic features such as intonation, rhythm, and stress features for discriminating the languages. They present how the proposed spectral and prosodic features capture the language specific information from two complementary aspects, showing how the development of language identification (LID) system using the combination of spectral and prosodic features will enhance the accuracy of identification as well as improve the robustness of the system. This book provides the ... Read more

Product Details

Format
Paperback
Publication date
2015
Publisher
Springer International Publishing AG Switzerland
Number of pages
98
Condition
New
Series
SpringerBriefs in Electrical and Computer Engineering
Number of Pages
98
Place of Publication
Cham, Switzerland
ISBN
9783319171623
SKU
V9783319171623
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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