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Upload README.md with huggingface_hub

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@@ -4,7 +4,7 @@ emoji: 🎤
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  colorFrom: blue
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  colorTo: purple
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  sdk: gradio
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- sdk_version: 4.44.0
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  app_file: app.py
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  pinned: false
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  license: mit
@@ -23,24 +23,12 @@ tags:
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  Detect whether an audio clip is **AI-generated** or spoken by a **human**.
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  ## Supported Languages
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- - Tamil
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- - English
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- - Hindi
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- - Malayalam
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- - Telugu
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-
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- ## Model
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- Uses [Wav2Vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) backbone with custom classification head.
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  ## Performance
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  - **Accuracy:** 99.69%
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- - **AUROC:** 1.0
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  - **EER:** 0.25%
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- ## Usage
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- 1. Upload an audio file (MP3, WAV, etc.) or record using your microphone
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- 2. Click "Analyze"
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- 3. View the classification result and confidence scores
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-
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- ## Model Weights
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  [kimnamjoon0007/lkht-v440](https://huggingface.co/kimnamjoon0007/lkht-v440)
 
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  colorFrom: blue
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  colorTo: purple
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  sdk: gradio
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+ sdk_version: 5.9.1
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  app_file: app.py
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  pinned: false
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  license: mit
 
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  Detect whether an audio clip is **AI-generated** or spoken by a **human**.
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  ## Supported Languages
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+ - Tamil • English • Hindi • Malayalam • Telugu
 
 
 
 
 
 
 
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  ## Performance
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  - **Accuracy:** 99.69%
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+ - **AUROC:** 1.0
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  - **EER:** 0.25%
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+ ## Model
 
 
 
 
 
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  [kimnamjoon0007/lkht-v440](https://huggingface.co/kimnamjoon0007/lkht-v440)