Often, the human ear can easily determine a person’s gender as male or female voice within the first few spoken words. However, designing a computer program to do this may be more complicated. This repository describes the design of a computer program to model the acoustic analysis of voices and speech for determining gender. The model is constructed using 3,168 recorded samples of male and female voices that processed using acoustic analysis and then applied to an artificial intelligence algorithm to learn gender-specific traits.
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Gender recognition by voice and speech analysis
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- Python 100.0%