Speaker Diarization using Deep Recurrent Convolutional Neural Networks for Speaker Embeddings

Pawel Cyrta, Tomasz Trzciński, Wojciech Stokowiec

In this paper we propose a new method of speaker diarization that employs a deep learning architecture to learn speaker embeddings. In contrast to the traditional approaches that b…