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--- |
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library_name: transformers.js |
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base_model: |
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- prithivMLmods/Speech-Emotion-Classification |
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--- |
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# Speech-Emotion-Classification (ONNX) |
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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 |
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> **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 |
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`Speech-Emotion-Classification` is designed for: |
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* **Speech Emotion Analytics** – Analyze speaker emotions in call centers, interviews, or therapeutic sessions. |
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* **Conversational AI Personalization** – Adjust voice assistant responses based on detected emotion. |
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* **Mental Health Monitoring** – Support emotion recognition in voice-based wellness or teletherapy apps. |
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* **Voice Dataset Curation** – Tag or filter speech datasets by emotion for research or model training. |
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* **Media Annotation** – Automatically annotate podcasts, audiobooks, or videos with speaker emotion metadata. |
