Card: rename dramabox-voice-acting-data-annotated -> voice-acting-data-annotated; licence CC-BY-4.0; drop generator name
Browse filesRepository renamed (the old name redirects). Card cleaned: title, links and load examples use the new name; license set to cc-by-4.0; generator-specific wording removed.
README.md
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- audio
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---
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#
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Post-processed version of [laion/
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## Processing Pipeline
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1. **RE-USE Speech Enhancement** (nvidia/RE-USE) - Applied to non-singing samples for noise reduction
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5. **VoiceCLAP Large Embeddings** (laion/voiceclap-large) - 3584-dim voice embeddings per part
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## Purpose
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Each
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By splitting into parts, we create paired clips of the same voice identity with different emotions,
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enabling training of voice acting systems that maintain speaker consistency across emotional transitions.
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- [YatharthS/LavaSR](https://github.com/ysharma3501/LavaSR) - Super resolution
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- [openai/whisper](https://github.com/openai/whisper) turbo - ASR
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- [laion/voiceclap-large](https://huggingface.co/laion/voiceclap-large) - Voice embeddings
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- audio
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# Voice Acting Data - Annotated
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Post-processed version of [laion/voice-acting-data](https://huggingface.co/datasets/laion/voice-acting-data).
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## Processing Pipeline
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1. **RE-USE Speech Enhancement** (nvidia/RE-USE) - Applied to non-singing samples for noise reduction
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5. **VoiceCLAP Large Embeddings** (laion/voiceclap-large) - 3584-dim voice embeddings per part
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## Purpose
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Each sample contains two emotional scenes from the same speaker separated by "CUT TO:".
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By splitting into parts, we create paired clips of the same voice identity with different emotions,
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enabling training of voice acting systems that maintain speaker consistency across emotional transitions.
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- [YatharthS/LavaSR](https://github.com/ysharma3501/LavaSR) - Super resolution
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- [openai/whisper](https://github.com/openai/whisper) turbo - ASR
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- [laion/voiceclap-large](https://huggingface.co/laion/voiceclap-large) - Voice embeddings
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## License
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CC BY 4.0.
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---
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The audio in this dataset was generated with a voice-acting AI model.
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