Language Identification Using Excitation Source Features

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) Impli...

Full description

Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Rao, K. Sreenivasa (Author), Nandi, Dipanjan (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
Subjects:
Signal processing.
Natural language processing (Computer science).
Computational linguistics.
Signal, Speech and Image Processing .
Natural Language Processing (NLP).
Computational Linguistics.
Online Access:Texto Completo
Table of Contents:
  • Introduction
  • Language Identification--A Brief Review
  • Implicit Excitation Source Features for Language Identification
  • Parametric Excitation Source Features for Language Identification
  • Complementary and Robust Nature of Excitation Source Features for Language Identification
  • Conclusion.

Similar Items