MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement

Understand

The discrepancy between the cost function used for training a speech enhancement model and human auditory perception usually makes the quality of enhanced speech unsatisfactory.

• Objective evaluation metrics which consider human perception can hence serve as a bridge to reduce the gap.
• Our previously proposed MetricGAN was designed to optimize objective metrics by connecting the metric with a discriminator.
• Because only the scores of the target evaluation functions are needed during training, the metrics can even be non-differentiable.