Automatic Speaker Recognition using Transfer Learning

Even with today's frequent technological breakthroughs in speech-interactive devices (think Siri and Alexa), few companies have tried their hand at enabling multi-user profiles. Google Home has been the most ambitious in this area, allowing up to six user profiles. The recent boom of this technology is what made the potential for this project very exciting to our team. We also wanted to engage in a project that is still a hot topic in deep-learning research, create interesting tools, learn more about neural network architectures, and make original contributions where possible. We sought to create a system able to quickly add user profiles and accurately identify their voices with very little training data, a few sentences as most! This learning from one to only a few samples is known as One Shot Learning.