Gender classification with voice intensity

Mansour Alsulaiman, Zulfiqar Ali, Ghulam Muhammad

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

In this paper, a new approach to classify the two types of gender, male and female, is proposed and implemented. The research is based on the idea that male and female can be classified on the basis of the intensity of their utterances. To implement the idea, the Simpson's rule of numerical integration is used to calculate the voice intensity by measuring area under the normalized curve. The curve is obtained after multiplying a factor with the polynomial of degree three (fitted through the peaks), where peaks are found from each frame of speech utterance when it is divided into frames of length of 20 milliseconds. A certain level of amplitude is considered while finding the peaks. To make the decision about the type of gender an adaptively adjusted threshold is used. If the area of an utterance is above the threshold the gender type is a female otherwise male. Experiments show that result is promising that is 96.44%.

Conference

ConferenceUKSim 5th European Modelling Symposium on Computer Modelling and Simulation, EMS 2011
CountrySpain
CityMadrid
Period16/11/1118/11/11

Fingerprint

Simpson's rule
Curve
Polynomials
Numerical integration
Classify
Calculate
Polynomial
Experiments
Experiment
Voice
Gender
Speech

Keywords

  • Arabic Digits
  • Area
  • Gender Classification
  • Intensity
  • Simpson' Rule

Cite this

Alsulaiman, M., Ali, Z., & Muhammad, G. (2012). Gender classification with voice intensity. 205-209. Paper presented at UKSim 5th European Modelling Symposium on Computer Modelling and Simulation, EMS 2011, Madrid, Spain. https://doi.org/10.1109/EMS.2011.37
Alsulaiman, Mansour ; Ali, Zulfiqar ; Muhammad, Ghulam. / Gender classification with voice intensity. Paper presented at UKSim 5th European Modelling Symposium on Computer Modelling and Simulation, EMS 2011, Madrid, Spain.5 p.
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Alsulaiman, M, Ali, Z & Muhammad, G 2012, 'Gender classification with voice intensity' Paper presented at UKSim 5th European Modelling Symposium on Computer Modelling and Simulation, EMS 2011, Madrid, Spain, 16/11/11 - 18/11/11, pp. 205-209. https://doi.org/10.1109/EMS.2011.37

Gender classification with voice intensity. / Alsulaiman, Mansour; Ali, Zulfiqar; Muhammad, Ghulam.

2012. 205-209 Paper presented at UKSim 5th European Modelling Symposium on Computer Modelling and Simulation, EMS 2011, Madrid, Spain.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Gender classification with voice intensity

AU - Alsulaiman, Mansour

AU - Ali, Zulfiqar

AU - Muhammad, Ghulam

PY - 2012/1/16

Y1 - 2012/1/16

N2 - In this paper, a new approach to classify the two types of gender, male and female, is proposed and implemented. The research is based on the idea that male and female can be classified on the basis of the intensity of their utterances. To implement the idea, the Simpson's rule of numerical integration is used to calculate the voice intensity by measuring area under the normalized curve. The curve is obtained after multiplying a factor with the polynomial of degree three (fitted through the peaks), where peaks are found from each frame of speech utterance when it is divided into frames of length of 20 milliseconds. A certain level of amplitude is considered while finding the peaks. To make the decision about the type of gender an adaptively adjusted threshold is used. If the area of an utterance is above the threshold the gender type is a female otherwise male. Experiments show that result is promising that is 96.44%.

AB - In this paper, a new approach to classify the two types of gender, male and female, is proposed and implemented. The research is based on the idea that male and female can be classified on the basis of the intensity of their utterances. To implement the idea, the Simpson's rule of numerical integration is used to calculate the voice intensity by measuring area under the normalized curve. The curve is obtained after multiplying a factor with the polynomial of degree three (fitted through the peaks), where peaks are found from each frame of speech utterance when it is divided into frames of length of 20 milliseconds. A certain level of amplitude is considered while finding the peaks. To make the decision about the type of gender an adaptively adjusted threshold is used. If the area of an utterance is above the threshold the gender type is a female otherwise male. Experiments show that result is promising that is 96.44%.

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KW - Area

KW - Gender Classification

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Alsulaiman M, Ali Z, Muhammad G. Gender classification with voice intensity. 2012. Paper presented at UKSim 5th European Modelling Symposium on Computer Modelling and Simulation, EMS 2011, Madrid, Spain. https://doi.org/10.1109/EMS.2011.37