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Self-Learning Speaker Identification

A System for Enhanced Speech Recognition. Signals and Communication Technology

Format: Hardback
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, Germany
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Published: 18th Jun 2011
Dimensions: w 156mm h 234mm d 13mm
Weight: 441g
ISBN-10: 3642198988
ISBN-13: 9783642198984
Barcode No: 9783642198984
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Synopsis
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.

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