NDLI: Speaker identification on compactRIO

Content Provider	IEEE Xplore Digital Library
Author	Farjo, J. Aoun, M.H.J. Hamad, M. Kassem, A. Hamouche, M.
Copyright Year	2012
Description	Author affiliation: Department of Electrical and Computer and Communication Engineering, Notre Dame University Louaize, P.O. Box 72, Zouk Mikael, Lebanon (Farjo, J.; Aoun, M.H.J.; Hamad, M.; Kassem, A.)
Abstract	In order to prevent imposters from fraudulently acquiring the access privilege of an authorized person, reliable means of user authenticity are required. The biometric information in general and one's voice in particular are of such means; therefore a text-independent speaker identification system was built for this concern. What characterizes this paper is its implementation using LabVIEW on National Instruments CompactRIO, a control and acquisition system powered by reconfigurable I/O field-programmable gate array (FPGA) technology. The Mel-Frequency Cepstral Coefficients (MFCC) technique is used for feature extraction from the voice, Vector Quantization (VQ) technique based on the Linde-Buzo-Gray (LBG) algorithm for feature modeling, and the minimum distance classifier for the feature matching. The developed system identifies the user in runtime with high accuracy.
Starting Page	399
Ending Page	403
File Size	1127026
Page Count	5
File Format	PDF
ISBN	9781467307826
ISSN	21588473
e-ISBN	9781467307840
DOI	10.1109/MELCON.2012.6196458
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-25
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Field programmable gate arrays Mel frequency cepstral coefficient Filter banks Feature extraction Instruments Speech Vectors
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A study on feature extraction techniques for text independent speaker identification

Frequency-time analysis approach to feature extraction for text independent speaker identification

Filter bank based cepstral features for speaker recognition

Mel Filter Bank energy-based Slope feature and its application to speaker recognition

Speaker Recognition

Discriminating coding applied to the Automatic Speaker Identification

Discrete Fractional Fourier Transform and Vector Quantization Based Speaker Identification System

Speaker identification using FBCC in Malayalam language

An analysis and comparative evaluation of MFCC variants for speaker identification over VoIP networks

Speaker identification on compactRIO

Similar Documents

A study on feature extraction techniques for text independent speaker identification

Frequency-time analysis approach to feature extraction for text independent speaker identification

Filter bank based cepstral features for speaker recognition

Mel Filter Bank energy-based Slope feature and its application to speaker recognition

Speaker Recognition

Discriminating coding applied to the Automatic Speaker Identification

Discrete Fractional Fourier Transform and Vector Quantization Based Speaker Identification System

Speaker identification using FBCC in Malayalam language

An analysis and comparative evaluation of MFCC variants for speaker identification over VoIP networks

Speaker identification on compactRIO