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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Rémi Uro, David Doukhan, Albert Rilliard, Laetitia Larcher, Anissa-Claire Adgharouamane, Marie Tahon, Antoine Laurent
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| Challenge: | a new dataset of 155 episodes from popular american TV series is available to researchers . the dataset includes annotations for every speech turn (boundaries, speaker) and scene boundary . |
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