Fundamentals and Trends on Sound Source Separation : Overview of Approaches with Probabilistic Model and Deep Learning

Abstract

Sound source separation, which separates multiple sound sources from a mixture, has continued to evolve by incorporating beamforming techniques in wireless communication, signal processing, optimization techniques based on probabilistic models, and deep learning techniques. This paper prondes an overview of sound source separation techniques for multiple microphones based on a spatial model and a probabilistic sound source model, for a single microphone with deep learning, and for multiple microphones using a deep-learning-based sound source model and a spatial model.