The Evolution of Music Source Separation – Open Research to Real-World Audio
Updated 3rd August, 2025 Abstract This paper presents a comprehensive technical survey of deep learning-based Music Source Separation (MSS). We trace the evolution of the field, beginning with early statistical methods and advancing to today’s dominant neural network paradigms. We conduct a detailed architectural and mathematical analysis of two seminal approaches: the spectrogram-masking paradigm, exemplified … Read more