Speaker Recognition with the Help of Neural Networks

Speaker recognition is a task of identifying persons from their voices. Recently, deep learning has dramatically revolutionized speaker recognition. However, there is lack of comprehensive reviews on the exciting progress. In this paper, we review several major task of speaker recognition, with a focus on deep-learning-based methods. Because the major advantage of deep learning over conventional methods is its representation ability, which is able to produce highly abstract embedding features from utterances, we first pay close attention to deep-learning-based speaker feature extraction, which are the fundamental components of many speaker recognition subtasks. Then, we make an overview of speaker identification, with an emphasis of recent supervised, end-to-end. Finally, we classify robust speaker recognised from the perspectives of adaptation and speech.

KEYWORDS: Voice, machine learning, neural networks...