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BEST-RQ-2.2-base

Feature Extraction
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audio-embeddings
best-rq-2
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Link pretrained baselines to their Hugging Face model pages

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Files changed (2) hide show
  1. README.md +3 -3
  2. export_manifest.json +1 -1
README.md CHANGED
@@ -29,9 +29,9 @@ split for 200,000 steps**. The pretrained baselines are shown for comparison.
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  | Model | Speech | Music | Environment | Global Mean | Mean of Means | Hugging Face model |
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  | --- | ---: | ---: | ---: | ---: | ---: | --- |
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- | data2vec | 50.62 | 23.24 | 15.41 | 37.83 | 29.76 | Pretrained baseline |
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- | wav2vec 2.0 | 41.79 | 34.94 | 29.52 | 37.84 | 35.42 | Pretrained baseline |
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- | Whisper | 49.19 | 38.67 | 28.61 | 42.75 | 38.82 | Pretrained baseline |
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  | BEST-RQ (Conformer) | 40.43 | 35.58 | 30.81 | 37.43 | 35.60 | Separate codebase |
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  | BEST-RQ (ViT) | 32.87 | 41.62 | 34.50 | 34.88 | 36.33 | [BEST-RQ-ViT](https://huggingface.co/ltuncay/BEST-RQ-ViT) |
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  | BEST-RQ-2 (Interspeech 2026) | 38.49 | 54.40 | 46.39 | 43.21 | 46.43 | [BEST-RQ-2](https://huggingface.co/ltuncay/BEST-RQ-2) |
 
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  | Model | Speech | Music | Environment | Global Mean | Mean of Means | Hugging Face model |
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  | --- | ---: | ---: | ---: | ---: | ---: | --- |
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+ | data2vec | 50.62 | 23.24 | 15.41 | 37.83 | 29.76 | [facebook/data2vec-audio-base](https://huggingface.co/facebook/data2vec-audio-base) |
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+ | wav2vec 2.0 | 41.79 | 34.94 | 29.52 | 37.84 | 35.42 | [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) |
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+ | Whisper | 49.19 | 38.67 | 28.61 | 42.75 | 38.82 | [openai/whisper-base](https://huggingface.co/openai/whisper-base) |
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  | BEST-RQ (Conformer) | 40.43 | 35.58 | 30.81 | 37.43 | 35.60 | Separate codebase |
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  | BEST-RQ (ViT) | 32.87 | 41.62 | 34.50 | 34.88 | 36.33 | [BEST-RQ-ViT](https://huggingface.co/ltuncay/BEST-RQ-ViT) |
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  | BEST-RQ-2 (Interspeech 2026) | 38.49 | 54.40 | 46.39 | 43.21 | 46.43 | [BEST-RQ-2](https://huggingface.co/ltuncay/BEST-RQ-2) |
export_manifest.json CHANGED
@@ -27,7 +27,7 @@
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  },
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  "files": {
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  "CODE_LICENSE": "8fe9e8b749cd4abedabcb3100df445db899e72192394d14cc2dbf24a40811af6",
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- "README.md": "8ba0124b2cd2cf061cb4c8487909fcf46567e4d22b1746b53eb632f27488f5a2",
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  "adapters.py": "ca0f26826763c0e48b7508da732242bb83adfeb4814e389ed3fde93ad648c728",
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  "config.json": "93452b1dfb678bafd2737b29cc80586e1ccd8368ad0183ed3b88ffd8f12ed6f2",
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  "configuration_audio.py": "59f3a0b8db0df5af85e677ac33a4431595e9b2eff6d34c1e6a1778dd75a4568d",
 
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  },
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  "files": {
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  "CODE_LICENSE": "8fe9e8b749cd4abedabcb3100df445db899e72192394d14cc2dbf24a40811af6",
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+ "README.md": "5d0f54e06c339d95d064cd96c9ad11e87430c36e7a5daebfc5aa3ca5920440a9",
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  "adapters.py": "ca0f26826763c0e48b7508da732242bb83adfeb4814e389ed3fde93ad648c728",
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  "config.json": "93452b1dfb678bafd2737b29cc80586e1ccd8368ad0183ed3b88ffd8f12ed6f2",
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  "configuration_audio.py": "59f3a0b8db0df5af85e677ac33a4431595e9b2eff6d34c1e6a1778dd75a4568d",