---
library_name: transformers.js
base_model:
- prithivMLmods/Speech-Emotion-Classification
---

# 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).

# 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.

## Intended Use

`Speech-Emotion-Classification` is designed for:

* **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.