Using Optimal Ratio Mask as Training Target for Supervised Speech Separation

Understand

Supervised speech separation uses supervised learning algorithms to learn a mapping from an input noisy signal to an output target.

• With the fast development of deep learning, supervised separation has become the most important direction in speech separation area in recent years.
• For the supervised algorithm, training target has a significant impact on the performance.
• Ideal ratio mask is a commonly used training target, which can improve the speech intelligibility and quality of the separated speech.