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Gender Recognition Inclusive with Transgender from Speech Classification

  • Ghazaala YasminEmail author
  • Omkar Mullick
  • Arijit Ghosal
  • Asit K. Das
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 755)

Abstract

Automatic gender classification system has prompted a pertinent of increasing amount of applications, particularly the rise of social platforms and criminal investigation. Focus of substantial past researches was limited towards the discrimination of male and female gender only. Recently transgender has achieved legal recognition. So, any gender classification system should consider this third gender also. But unfortunately there is a lack of good gender classification system which can discriminate all the three types of gender well. This proposed work uses judiciously chosen acoustic features for classification of three classes of genders from their solo voice. The proposed system has been pursued with the sampled audio data extracted from audio signal. From the sampled data, acoustic features like tempo, pitch and spectral flux have been extracted using the idea of pattern recognition. The extracted feature set has been served for classification to predict the gender of a given unknown voice.

Keywords

Pitch Tempo Spectral flux Speech recognition Gender classification 

Notes

Acknowledgements

“This chapter does not contain any studies with human participants or animals performed by any of the authors.”

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Ghazaala Yasmin
    • 1
    Email author
  • Omkar Mullick
    • 2
  • Arijit Ghosal
    • 3
  • Asit K. Das
    • 4
  1. 1.Department of Computer Science & EngineeringSt. Thomas’ College of Engineering and TechnologyKolkataIndia
  2. 2.Department of Electronics and Communication EngineeringSt. Thomas’ College of Engineering and TechnologyKolkataIndia
  3. 3.Department of Information TechnologySt. Thomas’ College of Engineering and TechnologyKolkataIndia
  4. 4.Department of Computer Science and TechnologyIndian Institute of Engineering Science and TechnologyShibpur, HowrahIndia

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