Speaker diarization (Core ML)
Speaker diarization models in Core ML: segmentation, filterbank, embedding and PLDA.
- Credit: pyannote (Plaquet and Bredin, 2023); WeSpeaker (Wang et al., 2023) and VoxCeleb; VBx (Landini et al., 2022). Core ML conversion by FluidInference. Redistributed unchanged under CC BY 4.0.
Files
| File | Bytes | SHA-256 |
|---|---|---|
Embedding.mlmodelc/analytics/coremldata.bin |
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Embedding.mlmodelc/coremldata.bin |
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Embedding.mlmodelc/metadata.json |
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Embedding.mlmodelc/model.mil |
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Embedding.mlmodelc/weights/weight.bin |
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FBank.mlmodelc/analytics/coremldata.bin |
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FBank.mlmodelc/coremldata.bin |
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FBank.mlmodelc/metadata.json |
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FBank.mlmodelc/model.mil |
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FBank.mlmodelc/weights/weight.bin |
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PldaRho.mlmodelc/analytics/coremldata.bin |
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PldaRho.mlmodelc/coremldata.bin |
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PldaRho.mlmodelc/metadata.json |
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PldaRho.mlmodelc/model.mil |
7613 | git blob 30c6a1b1bfb5a5a2a9498d52c9529c15ba9e3917 |
PldaRho.mlmodelc/weights/weight.bin |
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Segmentation.mlmodelc/analytics/coremldata.bin |
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Segmentation.mlmodelc/coremldata.bin |
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Segmentation.mlmodelc/metadata.json |
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Segmentation.mlmodelc/model.mil |
43063 | git blob 60b457187b267fd64cd00410f4165d218c4fe7d7 |
Segmentation.mlmodelc/weights/weight.bin |
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plda-parameters.json |
89416 | git blob 104dc2572aec3eb7d606a619fa738cdc43824cff |
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