Skip to main content

Spectral Enhancement Methods

  • Chapter
  • First Online:
Noise Reduction in Speech Processing

Part of the book series: Springer Topics in Signal Processing ((STSP,volume 2))

  • 2787 Accesses

In this chapter, we focus on spectral enhancement methods in the shorttime Fourier transform (STFT) domain. We present statistical models for the speech and noise signals, and derive estimators for the speech signal using various distortion measures. We also describe an example of a speech enhancement algorithm and demonstrate its performance on speech signals degraded by various additive noise types.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

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 Jacob Benesty .

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Benesty, J., Chen, J., Huang, Y., Cohen, I. (2009). Spectral Enhancement Methods. In: Noise Reduction in Speech Processing. Springer Topics in Signal Processing, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00296-0_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-00296-0_11

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00295-3

  • Online ISBN: 978-3-642-00296-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics