http://iet.metastore.ingenta.com
1887

Target speech enhancement based on degenerate unmixing and estimation technique for real-world applications

Target speech enhancement based on degenerate unmixing and estimation technique for real-world applications

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

An algorithm for target speech enhancement based on degenerate unmixing and estimation technique (DUET) is described. Although the DUET can accomplish source separation only from two mixtures, the requirements of knowing the number of sources in advance and of estimating the attenuation and delay parameters for all sources prevent it from being used in real-world applications. Circumventing these requirements, the described algorithm is useful for speech enhancement where only one target speech should be extracted. Experimental results show that the algorithm provides much faster convergence of all the required parameters and noise suppression performances that are better than or comparable to the DUET with negligible distortion of the recovered speech.

References

    1. 1)
      • P.C. Loizou . (2007) Speech enhancement: theory and practice.
    2. 2)
      • S. Haykin . (2000) Unsupervised adaptive filtering, Volume 1: Blind source separation.
    3. 3)
    4. 4)
      • Rickard, S., Balan, R., Rosca, J.: `Real-time time-frequency based blind source separation', Int. Workshop on ICA and BSS, 2001, p. 651–656.
    5. 5)
      • H. Lane , B. Tranel . The Lombard sign and the role of hearing in speech. J. Speech Hear. Res. , 677 - 709
http://iet.metastore.ingenta.com/content/journals/10.1049/el.2010.3033
Loading

Related content

content/journals/10.1049/el.2010.3033
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address