Income estimates are not available at this time. Historical data is required to calculate accurate earning projections based on view metrics and CPM rates.

In this tutorial, we will present state-of-the-art techniques for speaker recognition and some related tasks such as speaker diarization. This tutorial shall cover different components in speaker recognition including front-end feature extraction, back-end modeling and scoring. A range of learning models will be detailed – from GMMs, SVM, PLDA to deep neural networks – along with learning algorithms – from Bayesian learning, unsupervised learning, discriminative learning, transfer learning to deep learning. A series of case studies and modern models based on PLDA and DNN will be addressed. In particular, different variants of deep models and their solutions to different problems in speaker recognition are presented. In addition, we will point out some new trends for speaker recognition including model regularization and deep belief networks.

SocialCounts.org lets you track YouTube live subscriber count in real time with our intuitive live sub count tracker for any channel

Watch yt live subscriber count trends unfold as our dashboard updates instantly with every new subscriber

Experience accurate youtubers live subscriber count insights powered by YouTube’s official API and smart analytics

Fuel your channel growth with live youtube sub count updates and up to the second data at SocialCounts.org