Gender Classification Through Voice Recognition (Record no. 58159)

MARC details
000 -LEADER
fixed length control field 01556nam a2200169Ia 4500
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name 12MS(IT)06
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Ali Muhammad Aamur
-- 12MSIT06
-- Supervisor Prof. Dr. Akhtar Hussain Jalbani
245 #0 - TITLE STATEMENT
Title Gender Classification Through Voice Recognition
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Nawabshah
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher QUEST
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Year of publication 2012
300 ## - PHYSICAL DESCRIPTION
Number of Pages 60
500 ## - GENERAL NOTE
General note ABSTRACT<br/><br/>Artificial lntelligcnce is very progressive field of, which makes easy life of human, become dynamically innovations, and enhanced the area of computer technologies. ln area the speech recognition is huge and sensitive virtually complex. lt is able to classifying of human gender through voice recognition which is ambiguous of research, the strategies of this is to capture real time voice of<br/>human gender and extract the features by different methods. Although the fundamental frequency is, the major septum and fundamental frequency may contribute to the human discrimination of male and female voice categories. The Fast Fourier Transforms (FFT) plays the major aspect that convert the time domain to frequency domain. This analog toward digital transforming to decipher the and filter the noise and classify the gender either male or female. Naive Bayes classifier contribute for classification the independence assumption training where train the system with the help of male and female voice and classify after this.<br/>strategies the classification accuracy rate is 81%.<br/>
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Department of Information Technology
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://tinyurl.com/5622j83v
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Thesis and Dissertation
Holdings
Withdrawn status Lost status Home library Current library Date acquired Accession Number Koha item type
    Research Section Research Section 27/03/2018 MP/16-55 Thesis and Dissertation