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README.md

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 # Empathic-Insight-Voice-Small
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1WR-B6j--Y5RdhIyRGF_tJ3YdFF8BkUA2)
 
+**Empathic-Insight-Voice-Small** is a suite of 40+ emotion and attribute regression models trained on the EMONET-VOICE benchmark dataset, which is derived from the large-scale, multilingual synthetic voice-acting dataset LAION'S GOT TALENT. Each model is designed to predict the intensity of a specific fine-grained emotion or attribute from speech audio. These models leverage embeddings from a fine-tuned Whisper model (mkrausio/EmoWhisper-AnS-Small-v0.1) followed by dedicated MLP regression heads for each dimension.
+
+This work is based on the research paper:
+**"EMONET-VOICE: A Fine-Grained, Expert-Verified Benchmark for Speech Emotion Detection"**
+
+
 ## Example Video Analyses (Top 3 Emotions)
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-**Empathic-Insight-Voice-Small** is a suite of 40+ emotion and attribute regression models trained on the EMONET-VOICE benchmark dataset, which is derived from the large-scale, multilingual synthetic voice-acting dataset LAION'S GOT TALENT. Each model is designed to predict the intensity of a specific fine-grained emotion or attribute from speech audio. These models leverage embeddings from a fine-tuned Whisper model (mkrausio/EmoWhisper-AnS-Small-v0.1) followed by dedicated MLP regression heads for each dimension.
-
-This work is based on the research paper:
-**"EMONET-VOICE: A Fine-Grained, Expert-Verified Benchmark for Speech Emotion Detection"**
-
-
 ## Model Description
 
 The Empathic-Insight-Voice-Small suite consists of over 54 individual MLP models (40 for primary emotions, plus others for attributes like valence, arousal, gender, etc.). Each model takes a Whisper audio embedding as input and outputs a continuous score for one of the emotion/attribute categories defined in the EMONET-VOICE taxonomy and extended attribute set.