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Card: rename dramabox-voice-acting-data-annotated -> voice-acting-data-annotated; licence CC-BY-4.0; drop generator name

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Repository 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.

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  1. README.md +11 -4
README.md CHANGED
@@ -12,9 +12,9 @@ tags:
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  - audio
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  ---
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- # DramaBox Voice Acting Data - Annotated
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- Post-processed version of [laion/dramabox-voice-acting-data](https://huggingface.co/datasets/laion/dramabox-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
@@ -24,7 +24,7 @@ Post-processed version of [laion/dramabox-voice-acting-data](https://huggingface
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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 DramaBox 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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@@ -43,4 +43,11 @@ enabling training of voice acting systems that maintain speaker consistency acro
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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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- - [ResembleAI/DramaBox](https://huggingface.co/ResembleAI/Dramabox) - Source TTS model
 
 
 
 
 
 
 
 
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  - audio
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  ---
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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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+
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+ ## License
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+
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+ CC BY 4.0.
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+
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+ ---
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+
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+ The audio in this dataset was generated with a voice-acting AI model.