Speaker change detection using features through a neural network speaker classifier
Speaker change detection using features through a neural network speaker classifier
The mechanism proposed here is for real-time speaker change detection in conversations, which firstly trains a neural network text-independent speaker classifier using in-domain speaker data. Through the network, features of conversational speech from out-of-domain speakers are then converted into likelihood vectors, i.e., similarity scores comparing to the in-domain speakers. These …