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ai4bharat
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MANGO

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human-evaluation

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 **MANGO** (*MUSHRA Assessment corpus using Native listeners and Guidelines to understand human Opinions at scale*) is the first large-scale dataset designed for evaluating Text-to-Speech (TTS) systems in Indian languages.
 ### Key Features:
-- **255,000 human ratings** of TTS-generated outputs and ground-truth human speech.
 - Covers two major Indian languages: **Hindi** & **Tamil**, and **English**.
 - Based on the **MUSHRA** (Multiple Stimuli with Hidden Reference and Anchor) test methodology.
 - Ratings are provided on a continuous scale from **0 to 100**, with discrete quality categories:

 **MANGO** (*MUSHRA Assessment corpus using Native listeners and Guidelines to understand human Opinions at scale*) is the first large-scale dataset designed for evaluating Text-to-Speech (TTS) systems in Indian languages.
 ### Key Features:
+- **255,150 human ratings** of TTS-generated outputs and ground-truth human speech.
 - Covers two major Indian languages: **Hindi** & **Tamil**, and **English**.
 - Based on the **MUSHRA** (Multiple Stimuli with Hidden Reference and Anchor) test methodology.
 - Ratings are provided on a continuous scale from **0 to 100**, with discrete quality categories: