ISCA - International Speech
Communication Association


ISCApad Archive  »  2017  »  ISCApad #223  »  Recent Theses  »  Mohamad Hasan, Bahari, 'Automatic Speaker Characterization Automatic Identification of Gender, Age, Language and Accent from Speech Signals

ISCApad #223

Saturday, January 14, 2017 by Chris Wellekens

8-2 Mohamad Hasan, Bahari, 'Automatic Speaker Characterization Automatic Identification of Gender, Age, Language and Accent from Speech Signals
  

Mohamad Hasan, Bahari has completed his PhD thesis entitled 'Automatic Speaker
Characterization Automatic Identification of Gender, Age, Language and Accent from Speech
Signals' at KU Leuven. It was supervised by Hugo Van hamme. Link to the document:
http://theses.eurasip.org/theses/558/automatic-speaker-characterization-identification/download/


Back  Top


 Organisation  Events   Membership   Help 
 > Board  > Interspeech  > Join - renew  > Sitemap
 > Legal documents  > Workshops  > Membership directory  > Contact
 > Logos      > FAQ
       > Privacy policy

© Copyright 2024 - ISCA International Speech Communication Association - All right reserved.

Powered by ISCA