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Multimodal Speaker Diarization Using a Pre-Trained Audio-Visual Synchronization Model
Speaker diarization systems aim to find ‘who spoke when?’ in multi-speaker recordings. The dataset usually consists of meetings, TV/talk shows, telephone and multi-party interaction recordings. In this paper, we propose a novel multimodal speaker diarization technique, which finds the active speaker...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929047/ https://www.ncbi.nlm.nih.gov/pubmed/31775385 http://dx.doi.org/10.3390/s19235163 |