Abstract
The fundamentals of speech production, automatic speech processing and the components of a complete system for self-learning speaker identification and speech recognition are introduced in this chapter.
In the first section discussion starts with speech production to gain insight into speech and the problem of speaker variability. A simple yet effective model is provided to simplify the understanding of the algorithms handling speaker variability and speech characteristics.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Herbig, T., Gerl, F., Minker, W. (2011). Fundamentals. In: Self-Learning Speaker Identification. Signals and Communication Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19899-1_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-19899-1_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19898-4
Online ISBN: 978-3-642-19899-1
eBook Packages: EngineeringEngineering (R0)