Audio classification based on polynomial interpolation
Joint Authors
al-Alusi, Nida Fulayyih Hasan
Salah al-Din, Sarah Qusai
Source
Journal of Baghdad College of Economic Sciences University
Issue
Vol. 2019, Issue 57 (31 Mar. 2019), pp.1-14, 14 p.
Publisher
Baghdad College of Economic Sciences University
Publication Date
2019-03-31
Country of Publication
Iraq
No. of Pages
14
Main Subjects
Topics
Abstract EN
A new algorithm to classify gender based on autocorrelation is used, firstly the signal is interpolated (resample signal) to fill-in the gaps between the signal, and the signal is convolved to be Cross-Correlated (long signal for a shorter), so the gender is classified depending on pitch Cross-Correlation.
Finally, the gender is classified to be male if the pitch value range between 85 Hz and 155 Hz, and the gender is female if the pitch value range between 165 Hz and 255 Hz.
Key words: - digital audio, Pitch, Autocorrelation, Cross- Correlation and polynomial interpolation.
American Psychological Association (APA)
al-Alusi, Nida Fulayyih Hasan& Salah al-Din, Sarah Qusai. 2019. Audio classification based on polynomial interpolation. Journal of Baghdad College of Economic Sciences University،Vol. 2019, no. 57, pp.1-14.
https://search.emarefa.net/detail/BIM-1220224
Modern Language Association (MLA)
al-Alusi, Nida Fulayyih Hasan& Salah al-Din, Sarah Qusai. Audio classification based on polynomial interpolation. Journal of Baghdad College of Economic Sciences University No. 57 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1220224
American Medical Association (AMA)
al-Alusi, Nida Fulayyih Hasan& Salah al-Din, Sarah Qusai. Audio classification based on polynomial interpolation. Journal of Baghdad College of Economic Sciences University. 2019. Vol. 2019, no. 57, pp.1-14.
https://search.emarefa.net/detail/BIM-1220224
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1220224
