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Self-Learning Speaker Identification By Tobias Herbig

Self-Learning Speaker Identification by Tobias Herbig

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Summary

Current speech recognition systems are based on speaker independent speech models and suffer from inter-speaker variations in speech signal characteristics.

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Self-Learning Speaker Identification Summary

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

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.

Table of Contents

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

Additional information

NLS9783642268809
9783642268809
3642268803
Self-Learning Speaker Identification: A System for Enhanced Speech Recognition by Tobias Herbig
New
Paperback
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
2013-08-01
172
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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