Christian Uhle
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View article: On the effect of artificial distortions on objective performance measures for dialog enhancement
On the effect of artificial distortions on objective performance measures for dialog enhancement Open
The objective evaluation of dialog enhancement systems using computational methods is desired to complement the subjective evaluation using listening tests. It remains a challenge because for this application neither were performance measu…
View article: Dialog+ in Broadcasting: First Field Tests Using Deep-Learning-Based Dialogue Enhancement
Dialog+ in Broadcasting: First Field Tests Using Deep-Learning-Based Dialogue Enhancement Open
Difficulties in following speech due to loud background sounds are common in broadcasting. Object-based audio, e.g., MPEG-H Audio solves this problem by providing a user-adjustable speech level. While object-based audio is gaining momentum…
View article: Controlling the Remixing of Separated Dialogue with a Non-Intrusive Quality Estimate
Controlling the Remixing of Separated Dialogue with a Non-Intrusive Quality Estimate Open
Remixing separated audio sources trades off interferer attenuation against\nthe amount of audible deteriorations. This paper proposes a non-intrusive audio\nquality estimation method for controlling this trade-off in a signal-adaptive\nman…
View article: Controlling the Remixing of Separated Dialogue with a Non-Intrusive Quality Estimate
Controlling the Remixing of Separated Dialogue with a Non-Intrusive Quality Estimate Open
Remixing separated audio sources trades off interferer attenuation against the amount of audible deteriorations. This paper proposes a non-intrusive audio quality estimation method for controlling this trade-off in a signal-adaptive manner…
View article: Controlling the Perceived Sound Quality for Dialogue Enhancement With Deep Learning
Controlling the Perceived Sound Quality for Dialogue Enhancement With Deep Learning Open
Speech enhancement attenuates interfering sounds in speech signals but may introduce artifacts that perceivably deteriorate the output signal. We propose a method for controlling the trade-off between the attenuation of the interfering bac…
View article: Source Separation for Enabling Dialogue Enhancement in Object-based Broadcast with MPEG-H
Source Separation for Enabling Dialogue Enhancement in Object-based Broadcast with MPEG-H Open
Low intelligibility of narration or dialogue resulting from high background level is one of the most common complaints in broadcasting. Even when the intelligibility is not compromised, listeners may have personal preferences that differ f…
View article: The Adjustment / Satisfaction Test (A/ST) for the Subjective Evaluation of Dialogue Enhancement
The Adjustment / Satisfaction Test (A/ST) for the Subjective Evaluation of Dialogue Enhancement Open
Media consumption is heading towards high degrees of content personalization. It is thus crucial to assess the perceptual performance of personalized media delivery. This work proposes the Adjustment/Satisfaction Test (A/ST), a perceptual …