Speech based gender identification using empirical mode decomposition (EMD)
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014.
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BRAC University
2014
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| גישה מקוונת: | http://hdl.handle.net/10361/3225 |
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10361-32252022-01-26T10:13:15Z Speech based gender identification using empirical mode decomposition (EMD) Chowdhury, Mahpara Hyder Azhar, Hanif Bin Department of Computer Science and Engineering, BRAC University Computer science and engineering This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014. Cataloged from PDF version of thesis report. Includes bibliographical references (page 36). Traditionally for feature extraction, decomposition techniques such as Fourier decomposition are used to capture signals. But those methods have some margins like – it only works for linear and stationary data. On the other hand, in real world, we found data that are in non-linear and non-stationary. EMD or Empirical Mode Decomposition technique is a new approach introduced by Huang et al (1998) that can take any complicated signal and decomposed it to IMF. It extracts the amplitude and frequency information of a signal at a particular time. It is robust for non-linear and non-stationary signal processing. In this paper, I am using EMD as a new approach for gender identification based on speech signal. Gender identification based on the voice of a speaker consists of detecting if a speech signal is given by a male or female. Detecting the gender of a speaker has several applications. Mahpara Hyder Chowdhury B. Computer Science and Engineering 2014-05-14T06:57:22Z 2014-05-14T06:57:22Z 2014 2014-04 Thesis ID 10101036 http://hdl.handle.net/10361/3225 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 47 pages application/pdf BRAC University |
| institution |
Brac University |
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Institutional Repository |
| language |
English |
| topic |
Computer science and engineering |
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Computer science and engineering Chowdhury, Mahpara Hyder Speech based gender identification using empirical mode decomposition (EMD) |
| description |
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014. |
| author2 |
Azhar, Hanif Bin |
| author_facet |
Azhar, Hanif Bin Chowdhury, Mahpara Hyder |
| format |
Thesis |
| author |
Chowdhury, Mahpara Hyder |
| author_sort |
Chowdhury, Mahpara Hyder |
| title |
Speech based gender identification using empirical mode decomposition (EMD) |
| title_short |
Speech based gender identification using empirical mode decomposition (EMD) |
| title_full |
Speech based gender identification using empirical mode decomposition (EMD) |
| title_fullStr |
Speech based gender identification using empirical mode decomposition (EMD) |
| title_full_unstemmed |
Speech based gender identification using empirical mode decomposition (EMD) |
| title_sort |
speech based gender identification using empirical mode decomposition (emd) |
| publisher |
BRAC University |
| publishDate |
2014 |
| url |
http://hdl.handle.net/10361/3225 |
| work_keys_str_mv |
AT chowdhurymahparahyder speechbasedgenderidentificationusingempiricalmodedecompositionemd |
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1814308101674762240 |