Language Identification Using Spectral and Prosodic Features is popular PDF and ePub book, written by K. Sreenivasa Rao in 2015-03-31, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Language Identification Using Spectral and Prosodic Features can be Read Online from any device for your convenience.

Language Identification Using Spectral and Prosodic Features Book PDF Summary

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.

Detail Book of Language Identification Using Spectral and Prosodic Features PDF

Language Identification Using Spectral and Prosodic Features
  • Author : K. Sreenivasa Rao
  • Release : 31 March 2015
  • Publisher : Springer
  • ISBN : 9783319171630
  • Genre : Technology & Engineering
  • Total Page : 106 pages
  • Language : English
  • PDF File Size : 17,6 Mb

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