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Self-Learning Speaker Identification: A System for Enhanced Speech Recognition / Edition 1
     

Self-Learning Speaker Identification: A System for Enhanced Speech Recognition / Edition 1

by Tobias Herbig, Franz Gerl, Wolfgang Minker
 

ISBN-10: 3642198988

ISBN-13: 9783642198984

Pub. Date: 06/27/2011

Publisher: Springer Berlin Heidelberg

Current speech recognition systems are based on speaker independent speech models and suffer from inter-speaker variations in speech signal characteristics. This work develops an integrated approach for speech and speaker recognition in order to gain space for self-learning opportunities of the system. This work introduces a reliable speaker identification which

Overview

Current speech recognition systems are based on speaker independent speech models and suffer from inter-speaker variations in speech signal characteristics. This work develops an integrated approach for speech and speaker recognition in order to gain space for self-learning opportunities of the system. This work introduces a reliable speaker identification which enables the speech recognizer to create robust speaker dependent models In addition, this book gives a new approach to solve the reverse problem, how to improve speech recognition if speakers can be recognized. The speaker identification enables the speaker adaptation to adapt to different speakers which results in an optimal long-term adaptation.

Product Details

ISBN-13:
9783642198984
Publisher:
Springer Berlin Heidelberg
Publication date:
06/27/2011
Series:
Signals and Communication Technology Series
Edition description:
2011
Pages:
172
Product dimensions:
6.30(w) x 9.40(h) x 0.70(d)

Table of Contents

Introduction.- State of the Art.- Fundamentals.- Speech Production.- Front-End.- Speaker Change.- Speaker Identification.-Speaker Adaptation.

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