Self-Learning Speaker Identification

A System for Enhanced Speech Recognition

Tobias Herbig, Franz Gerl, Wolfgang Minker

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Hardback

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English

Springer-Verlag Berlin and Heidelberg GmbH & Co. K
18 June 2011

Pattern recognition; Speech recognition; Human-computer interaction

Series: Signals and Communication Technology

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.

By: Tobias Herbig, Franz Gerl, Wolfgang Minker
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Country of Publication: Germany
Edition: 2011 ed.
Dimensions: Height: 235mm, Width: 155mm, Spine: 12mm
Weight: 970g
ISBN: 9783642198984
ISBN 10: 3642198988
Series: Signals and Communication Technology
Pages: 172
Publication Date: 18 June 2011
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

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