  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 stage, Dialogue Separation (DS) can estimate them
to enable personalization. DS was shown to provide clear benefits for the end
user. Still, the estimated signals are not perfect, and some leakage can be
introduced. This is undesired, especially during passages without dialogue. We
propose to combine DS and Voice Activity Detection (VAD), both recently
proposed for TV audio. When their combination suggests dialogue inactivity,
background components leaking in the dialogue estimate are reassigned to the
background estimate. A clear improvement of the audio quality is shown for
dialogue-free signals, without performance drops when dialogue is active. A
post-processed VAD estimate with improved detection accuracy is also generated.
It is concluded that DS and VAD can improve each other and are better used
together.
