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Today

  1. v0.4.0: full-convergence checkpoints (S_safe = X + 2 epochs), TFLite exports, and updated evaluation archives

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    e39bf9d

3 days ago

  1. v0.3.0: training-crop provenance (fixed T=180 crops for the released weights; step-0 loss fingerprint; training_provenance block; variable_length_training aligned with the weights), TFLite EER CIs and re-measured latencies, flaxspeaker>=0.3.0 quickstart

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    0288912

5 days ago

  1. Round 2: honest model card (training budget, variant labels, Vox1-O 10-spk subset, TFLite window, deviations), cleaned config.json, 26 dB Vox1-O subset metrics; remove misleading preprocessor_config.json

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    c77c972
  2. Use clean collection URL https://huggingface.co/collections/wq2012/flaxspeaker

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    5b26a02
  3. Round 2: honest model card (training budget, variant labels, Vox1-O 10-spk subset, TFLite window, deviations), cleaned config.json, 26 dB Vox1-O subset metrics; remove misleading preprocessor_config.json

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  4. Round 2: honest model card (training budget, variant labels, Vox1-O 10-spk subset, TFLite window, deviations), cleaned config.json, 26 dB Vox1-O subset metrics; remove misleading preprocessor_config.json

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    3e82eb1

7 days ago

  1. Round 2 sync: portable config.json and official VoxCeleb1-O eval_results.json

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    b439137
  2. Round 2: Add scoring_type/loss_type/vad_config to config.json and voxceleb1_o_official to eval_results.json

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    9aa458c

10 days ago

  1. Upload FlaxSpeaker pretrained model univ_conformer_tiny_ge2e

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  2. initial commit

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