mirage

Speaker recognition using adaptively boosted decision tree classifier

DSpace/Manakin Repository

 

Search DR-NTU


Advanced Search Subject Search

Browse

My Account

Speaker recognition using adaptively boosted decision tree classifier

Show full item record

Title: Speaker recognition using adaptively boosted decision tree classifier
Author: Foo, Say Wei; Lim, Eng Guan
Copyright year: 2002
Abstract: In this paper, a novel approach for speaker recognition is proposed. The approach makes use of adaptive boosting (AdaBoost) and C4.5 decision trees for closed set, text-dependent speaker recognition. A subset of 20 speakers, 10 male and 10 female, drawn from the YOHO speaker verification corpus is used to assess the performance of the system. Results reveal that an accuracy of 99.5% of speaker identification may be achieved.
Type: Conference Paper
Conference name: IEEE International Conference on Acoustics, Speech and Signal Processing (2002 : Orlando, Florida, US)
Rights: IEEE International Conference on Acoustics, Speech and Signal Processing. Journal can be found at http://ieeexplore.ieee.org/xpl/RecentCon.jsp?punumber=7874
Version: Published version

Files in this item

Files Size Format View Description
C57-3404-ICASSP2002-LEG.pdf 89.96Kb PDF View/Open Accepted version

This item appears in the following Collection(s)

Show full item record

Statistics

Total views

All Items Views
Speaker recognition using adaptively boosted decision tree classifier 509

Total downloads

All Bitstreams Views
C57-3404-ICASSP2002-LEG.pdf 243

Top country downloads

Country Code Views
United States of America 103
China 42
Singapore 39
Russian Federation 11
France 5

Top city downloads

city Views
Mountain View 83
Singapore 38
Beijing 32
Redwood City 5
Calcutta 4

Downloads / month

  2014-08 2014-09 2014-10 total
C57-3404-ICASSP2002-LEG.pdf 0 0 4 4