A Robust Gender Recognition System using Convolutional Neural Network on Indonesian Speaker
I Nyoman Switrayana,
Sirojul Hadi,
Neny Sulistianingsih
Abstract:Voice is one of the biometrics that humans have. Humans can be recognized by the sounds produced by their vocal cords and vocal tracts. One of the uses of voice is to recognize gender. Despite extensive research, gender recognition using machine learning remains unsatisfactory due to the complexity of voice features and the limitations of conventional algorithms. In this research, voice-based gender recognition is performed by applying deep learning. The deep learning model used is the Convolutional Neural Net… Show more
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