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

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

by Tobias Herbig, Franz Gerl, Wolfgang Minker
     
 

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

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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:
9783642268809
Publisher:
Springer Berlin Heidelberg
Publication date:
08/28/2013
Series:
Signals and Communication Technology Series
Edition description:
2011
Pages:
172
Product dimensions:
6.14(w) x 9.21(h) x 0.40(d)

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