Self-Learning Speaker Identification A System for Enhanced Speech Recognition /

Current speech recognition systems suffer from variation of voice characteristics between speakers as they are usually based on speaker independent speech models. In order to resolve this issue, adaptation methods have been developed in many state-of-the-art systems. However, information acquired ov...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Herbig, Tobias (Author), Gerl, Franz (Author), Minker, Wolfgang (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edition:1st ed. 2011.
Series:Signals and Communication Technology,
Subjects:
Signal processing.
Biometric identification.
Telecommunication.
User interfaces (Computer systems).
Human-computer interaction.
Signal, Speech and Image Processing .
Biometrics.
Communications Engineering, Networks.
User Interfaces and Human Computer Interaction.
Online Access:Texto Completo
Table of Contents:
  • Introduction
  • State of the Art
  • Fundamentals
  • Speech Production
  • Front-End
  • Speaker Change
  • Speaker Identification.-Speaker Adaptation.

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