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

Speaker identification employing redundant vector quantisers

Speaker identification employing redundant vector quantisers

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.

A novel approach for automatic speaker identification employing a recently proposed signal compression technique, namely, the multiple transform domain split vector quantiser, is developed and presented. Using a normalised matching accuracy measure, the proposed technique consistently yields enhanced identification performance in comparison with existing single domain vector quantiser approaches.

References

    1. 1)
      • Berg, A.P., Mikhael, W.B.: `A survey of mixed transform techniques for speech and image coding', IEEE, Int. Symp. on Circuits and Systems, June 1999, Orlando, FL, USA, p. 106–109.
    2. 2)
      • A. Gray , R.M. Gray . (1991) Vector quantisation and signal compression.
    3. 3)
    4. 4)
      • Tufekci, Z., Gowdy, J.N.: `Feature extraction using discrete wavelet transform for speech recognition', IEEE Proceedings, April 2000, Southeastcon, Nashville, TN, USA, p. 116–123.
http://iet.metastore.ingenta.com/content/journals/10.1049/el_20020948
Loading

Related content

content/journals/10.1049/el_20020948
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address