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

Stochastic correlation model for speech recognition

Stochastic correlation model for speech recognition

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 stochastic model, drawn from the upper bound of the joint probability distributions, is suggested for modelling the spectral correlation in speech. Experiments on a speaker independent E-set database show the effectiveness of this new modelling approach.

References

    1. 1)
      • M. Ostendorf , S. Roukos . A stochastic segment model for phoneme-basedcontinuous speech recognition. IEEE Trans. , 1857 - 1869
    2. 2)
      • P. Kenny , M. Lenning , P. Mermelstein . A linear predictive HMM for vector-valued observations with applicationsto speech recognition. IEEE Trans. , 220 - 225
    3. 3)
      • McDermott, E., Katagiri, S.: `Shift-invariant multi-category phonemerecognition using Kohonen's LVQ2', Proc. ICASSP, 1989, p. 81–84.
http://iet.metastore.ingenta.com/content/journals/10.1049/el_19960704
Loading

Related content

content/journals/10.1049/el_19960704
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address