73 citations · 113 across the 13 of their papers we have counts for
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eess.AS2023
Predicting Preferred Dialogue-to-Background Loudness Difference in Dialogue-Separated Audio
Luca Resti, Martin Strauss, Matteo Torcoli +2
Dialogue Enhancement (DE) enables the rebalancing of dialogue and background sounds to fit personal preferences and needs in the context of broadcast audio. When individual audio s…
eess.AS2023
Better Together: Dialogue Separation and Voice Activity Detection for Audio Personalization in TV
Matteo Torcoli, Emanuël A. P. Habets
In TV services, dialogue level personalization is key to meeting user preferences and needs. When dialogue and background sounds are not separately available from the production st…