A Unified Framework for Speech Separation

Understand

Speech separation refers to extracting each individual speech source in a given mixed signal.

• Recent advancements in speech separation and ongoing research in this area, have made these approaches as promising techniques for pre-processing of naturalistic audio streams.
• After incorporating deep learning techniques into speech separation, performance on these systems is improving faster.
• The initial solutions introduced for deep learning based speech separation analyzed the speech signals into time-frequency domain with STFT; and then encoded mixed signals were fed into a deep neural network based separator.