Self-Learning Speaker Identification

A System for Enhanced Speech Recognition

Tobias Herbig, Franz Gerl, Wolfgang Minker

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English

Springer-Verlag Berlin and Heidelberg GmbH & Co. K
03 August 2013

Pattern recognition; Speech recognition; Human-computer interaction

Series: Signals and Communication Technology

Summary
Details

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: 10mm
Weight: 454g
ISBN: 9783642268809
ISBN 10: 3642268803
Series: Signals and Communication Technology
Pages: 172
Publication Date: 03 August 2013
Audience: Professional and scholarly , Professional and scholarly , Undergraduate , Undergraduate
Format: Paperback
Publisher's Status: Active