| Language Identification Using Spectral and Prosodic Features 2015 Edition Contributor(s): Rao, K. Sreenivasa (Author), Reddy, V. Ramu (Author), Maity, Sudhamay (Author) |
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ISBN: 3319171623 ISBN-13: 9783319171623 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: April 2015 |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Electronics - General - Computers | Natural Language Processing - Language Arts & Disciplines | Linguistics - General |
| Dewey: 006.35 |
| Series: Springerbriefs in Speech Technology |
| Physical Information: 0.23" H x 6.14" W x 9.21" (0.37 lbs) 98 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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 methods to extract the spectral and prosodic features at various levels, and also suggests the appropriate models for developing robust LID systems according to specific spectral and prosodic features. Finally, the book discuss about various combinations of spectral and prosodic features, and the desired models to enhance the performance of LID systems. |