PERFORMANCE EVALUATION OF ALGORITHMS FOR GENDER CLASSIFICATION
Shivani Sanjay Tejale, Tushar B. Kute · International Journal of Engineering Applied Sciences and Technology · 2020
Gender Classification based on the acoustic properties of voice sample is an important task for various applications. Gender of the person can be identified by the acoustic properties of voice.For classification choosing one of the best matching learning is another important task.In this proposed study we conducted various experiment study of various machine learning algorithms for Gender Classification.We analysed the performance of algorithms using voice dataset.From this we concluded that Random Forest and Artificial Neural Networks giving best results.