M3SD: Multi-modal, Multi-scenario and Multi-language Speaker Diarization Dataset
Fuente:
arXiv
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| Autor principal: | |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866916814274953216 |
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| author | Wu, Shilong |
| author_facet | Wu, Shilong |
| contents | In the field of speaker diarization, the development of technology is constrained by two problems: insufficient data resources and poor generalization ability of deep learning models. To address these two problems, firstly, we propose an automated method for constructing speaker diarization datasets, which generates more accurate pseudo-labels for massive data through the combination of audio and video. Relying on this method, we have released Multi-modal, Multi-scenario and Multi-language Speaker Diarization (M3SD) datasets. This dataset is derived from real network videos and is highly diverse. Our dataset and code have been open-sourced at https://huggingface.co/spaces/OldDragon/m3sd. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_14427 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | M3SD: Multi-modal, Multi-scenario and Multi-language Speaker Diarization Dataset Wu, Shilong Audio and Speech Processing Multimedia In the field of speaker diarization, the development of technology is constrained by two problems: insufficient data resources and poor generalization ability of deep learning models. To address these two problems, firstly, we propose an automated method for constructing speaker diarization datasets, which generates more accurate pseudo-labels for massive data through the combination of audio and video. Relying on this method, we have released Multi-modal, Multi-scenario and Multi-language Speaker Diarization (M3SD) datasets. This dataset is derived from real network videos and is highly diverse. Our dataset and code have been open-sourced at https://huggingface.co/spaces/OldDragon/m3sd. |
| title | M3SD: Multi-modal, Multi-scenario and Multi-language Speaker Diarization Dataset |
| topic | Audio and Speech Processing Multimedia |
| url | https://arxiv.org/abs/2506.14427 |