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README.md

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 # Speech-Emotion-Classification (ONNX)
 
 This is an ONNX version of [prithivMLmods/Speech-Emotion-Classification](https://huggingface.co/prithivMLmods/Speech-Emotion-Classification). It was automatically converted and uploaded using [this space](https://huggingface.co/spaces/onnx-community/convert-to-onnx).
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+# Speech-Emotion-Classification
+
+> **Speech-Emotion-Classification** is a fine-tuned version of `facebook/wav2vec2-base-960h` for **multi-class audio classification**, specifically trained to detect **emotions** in speech. This model utilizes the `Wav2Vec2ForSequenceClassification` architecture to accurately classify speaker emotions from audio signals.
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+## Intended Use
+
+`Speech-Emotion-Classification` is designed for:
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+* **Speech Emotion Analytics** – Analyze speaker emotions in call centers, interviews, or therapeutic sessions.
+* **Conversational AI Personalization** – Adjust voice assistant responses based on detected emotion.
+* **Mental Health Monitoring** – Support emotion recognition in voice-based wellness or teletherapy apps.
+* **Voice Dataset Curation** – Tag or filter speech datasets by emotion for research or model training. 
+* **Media Annotation** – Automatically annotate podcasts, audiobooks, or videos with speaker emotion metadata.