MagicData-RAMC
Emerging4papers using it
2022first seen
The 'MagicData RAMC' is a dataset used to evaluate end-to-end speaker diarization systems, contributing to the assessment of diarization error rates (DERs) in the context of speaker identification and segmentation.
Papers using MagicData-RAMC (4)
- Pushing the Limits of End-to-End DiarizationQifusion-Net: Layer-adapted Stream/Non-stream Model for End-to-End
Multi-Accent Speech RecognitionOpen Source MagicData-RAMC: A Rich Annotated Mandarin
Conversational(RAMC) Speech DatasetConversational Speech Recognition by Learning Audio-textual Cross-modal
Contextual Representation