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Dialog+ in Broadcasting: First Field Tests Using Deep-Learning-Based Dialogue Enhancement
To address this, Fraunhofer IIS has developed a deep-learning solution called Dialog+, capable of enabling speech level personalization also for content with only the final audio tracks available.
Controlling the Perceived Sound Quality for Dialogue Enhancement with Deep Learning
Speech enhancement attenuates interfering sounds in speech signals but may introduce artifacts that perceivably deteriorate the output signal.
Controlling the Remixing of Separated Dialogue with a Non-Intrusive Quality Estimate
The 2f-model requires the reference target source as an input, but this is not available in many applications.
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