First of all, I decided my advisor to be Xunfei who was my advisor as well last semester. We decided our weekly meeting time.\u00a0I have read some new papers and decided to change my modeling method from GMM-UBM to Neural Networks, and combine with i-vectors or x-vectors. I have found related code sources about Deep\u00a0Neural Networks\/Convolutional\u00a0Neural Networks\u00a0for speaker verification on GitHub.\u00a0GMM-UBM is one of the most classical and dominant methods for\u00a0speaker verification, but its accuracy decreases as the amount of users increases. Nowadays, there are new methods performs better than it, like\u00a0Deep\u00a0Neural Networks\/Convolutional\u00a0Neural Networks. This change on my project might be more challenging because I am using a new method which probably has fewer recourses. But I really want to make the accuracy for\u00a0speaker verification higher than 90%.\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"