Skip to main content

Speaker Recognition

Abstract

The objective of the enrollment process is to modify (adapt) a speaker-independent model into one that best characterizes the target speaker’s vocal tract characteristics. Depending on whether the task at hand is text-dependent or text-independent, different objectives should be observed while designing the enrollment process.

Keywords

  • Speech Recognition
  • Speaker Recognition
  • Broadcast News
  • Target Speaker
  • Speaker Recognition System

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-0-387-77592-0_17
  • Chapter length: 17 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   79.99
Price excludes VAT (USA)
  • ISBN: 978-0-387-77592-0
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   99.99
Price excludes VAT (USA)
Hardcover Book
USD   139.99
Price excludes VAT (USA)

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Homayoon Beigi .

Rights and permissions

Reprints and Permissions

Copyright information

© 2011 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Beigi, H. (2011). Speaker Recognition. In: Fundamentals of Speaker Recognition. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77592-0_17

Download citation

  • DOI: https://doi.org/10.1007/978-0-387-77592-0_17

  • Published:

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-77591-3

  • Online ISBN: 978-0-387-77592-0

  • eBook Packages: Computer ScienceComputer Science (R0)