Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
18
click to vote
ICONIP
2007
favorite
Email
discuss
report
106
views
Information Technology
»
more
ICONIP 2007
»
An Automatic Speaker Recognition System
13 years 11 months ago
Download
icwww.epfl.ch
P. Chakraborty, F. Ahmed, Md. Monirul Kabir, M. Sh
Real-time Traffic
ICONIP 2007
|
Information Technology
|
claim paper
Related Content
»
An overview of textindependent speaker recognition From features to supervectors
»
Automatic named identification of speakers using diarization and ASR systems
»
Exploiting HighLevel Information Provided by ALISP in Speaker Recognition
»
Speaker verification by inexperienced and experienced listeners vs speaker verification sy...
»
Lowcomplexity automatic speaker recognition in the compressed GSM AMR domain
»
HigherLevel Features in Speaker Recognition
»
Unfolding speaker clustering potential a biomimetic approach
»
Combining five acoustic level modeling methods for automatic speaker age and gender recogn...
»
Including human expertise in speaker recognition systems report on a pilot evaluation
more »
Post Info
More Details (n/a)
Added
29 Oct 2010
Updated
29 Oct 2010
Type
Conference
Year
2007
Where
ICONIP
Authors
P. Chakraborty, F. Ahmed, Md. Monirul Kabir, M. Shahjahan, Kazuyuki Murase
Comments
(0)
Researcher Info
Information Technology Study Group
Computer Vision