VOICE BASED GENDER CLASSIFICATION USING MACHINE LEARNING

  • Unique Paper ID: 153285
  • Volume: 8
  • Issue: 6
  • PageNo: 312-317
  • Abstract:
  • Gender identification is one of the major problem speech analysis today. Discovering the gender from acoustic data i.e., pitch, median. Frequency etc. Machine learning gives ominous results for classification problem in all the research domains. There are several performance metrics to assess algorithms of an area. Aim is to identify gender, with five different algorithms: Linear Discriminant Analysis, K-Nearest Neighbor, Characterization and Regression Trees, Random Forest, and Support Vector Machine on premise of eight unique techniques. The main parameter in assessing any algorithms is its performance. Misclassification rate must be less than in classification problems, which says that the accuracy rate must be high. Location and gender of the person have become crucial in economic markets in the form of AdSense. Here with this comparative model algorithm, we are using the different ML algorithms and find the best one for gender classification of acoustic data.

Cite This Article

  • ISSN: 2349-6002
  • Volume: 8
  • Issue: 6
  • PageNo: 312-317

VOICE BASED GENDER CLASSIFICATION USING MACHINE LEARNING

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