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Self-Learning Speaker Identification

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Self-Learning Speaker Identification 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.

About This Edition

ISBN: 9783642268809
Publication date:
Author: Tobias Herbig
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 184 pages
Series: Signals and Communication Technology
Genres: Electronics engineering
Pattern recognition
Digital signal processing (DSP)
Human–computer interaction
Communications engineering / telecommunications