Papers with news TV

1 papers
InaGVAD : A Challenging French TV and Radio Corpus Annotated for Speech Activity Detection and Speaker Gender Segmentation (2024.lrec-main)

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Challenge: InaGVAD is an audio corpus collected from 10 French radio and 18 TV channels categorized into 4 groups: generalist radio, music radio, news TV, and generalist TV.
Approach: They propose to use an audio corpus from 10 French radio and 18 TV channels to represent the acoustic diversity of French audiovisual programs.
Outcome: The proposed system is trained on a single hour of data and achieved competitive results.

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