Supervised Speech Separation Based on Deep Learning: An Overview

Understand

Speech separation is the task of separating target speech from background interference.

• Traditionally, speech separation is studied as a signal processing problem.
• A more recent approach formulates speech separation as a supervised learning problem, where the discriminative patterns of speech, speakers, and background noise are learned from training data.
• Over the past decade, many supervised separation algorithms have been put forward.