Datasets:
Tasks:
Text-to-Speech
Modalities:
Audio
Formats:
soundfolder
Languages:
English
Size:
1K - 10K
License:
Update cross-links after rename to cond-dim-*
Browse files
README.md
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@@ -24,7 +24,7 @@ Synthesized audio backing the paper **"cond-DIM: One Method, Three
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Conditioning Paths for Host-Independent Speaker Unlearning in Autoregressive Zero-Shot
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TTS."** ~2,450 clips: every backbone, every baseline, and the relearn stress test.
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🔇 **Prefer listening in the browser?** → [Live demo Space](https://huggingface.co/spaces/RootAccess4Life/
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## The one thing to listen for
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@@ -88,7 +88,7 @@ Stream a single clip without cloning the whole set:
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from huggingface_hub import hf_hub_download
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p = hf_hub_download(
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repo_id="RootAccess4Life/
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filename="xtts_clones/cE_103_0.wav",
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repo_type="dataset",
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)
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@@ -100,7 +100,7 @@ Or grab one backbone:
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from huggingface_hub import snapshot_download
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snapshot_download(
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repo_id="RootAccess4Life/
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repo_type="dataset",
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allow_patterns=["xtts_clones/*"],
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)
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@@ -132,8 +132,8 @@ should be handled accordingly.
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## Related
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- 💻 Code: https://github.com/pujariaditya/cond-dim-tts-unlearning
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- 🔇 Live demo: https://huggingface.co/spaces/RootAccess4Life/
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- 📦 Mirrors: [XTTS-v2](https://huggingface.co/RootAccess4Life/
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## Citation
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Conditioning Paths for Host-Independent Speaker Unlearning in Autoregressive Zero-Shot
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TTS."** ~2,450 clips: every backbone, every baseline, and the relearn stress test.
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+
🔇 **Prefer listening in the browser?** → [Live demo Space](https://huggingface.co/spaces/RootAccess4Life/cond-dim-demo)
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## The one thing to listen for
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from huggingface_hub import hf_hub_download
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p = hf_hub_download(
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repo_id="RootAccess4Life/cond-dim-samples",
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filename="xtts_clones/cE_103_0.wav",
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repo_type="dataset",
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)
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from huggingface_hub import snapshot_download
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snapshot_download(
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repo_id="RootAccess4Life/cond-dim-samples",
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repo_type="dataset",
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allow_patterns=["xtts_clones/*"],
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)
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## Related
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- 💻 Code: https://github.com/pujariaditya/cond-dim-tts-unlearning
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+
- 🔇 Live demo: https://huggingface.co/spaces/RootAccess4Life/cond-dim-demo
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- 📦 Mirrors: [XTTS-v2](https://huggingface.co/RootAccess4Life/cond-dim-xtts-v2) · [IndexTTS-1.5](https://huggingface.co/RootAccess4Life/cond-dim-indextts-1.5)
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## Citation
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