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Wav2vec2 Large Superb Er

Developed by superb
This is an emotion recognition model based on the Wav2Vec2-Large model, specifically designed to identify emotion categories from speech.
Downloads 1,442
Release Time : 3/2/2022

Model Overview

This model is fine-tuned from Facebook's wav2vec2-large-lv60 model on the SUPERB emotion recognition task, primarily used to identify four basic emotion categories from speech.

Model Features

Based on Wav2Vec2 Pre-trained Model
Utilizes the large-scale pre-trained Wav2Vec2 model with powerful speech feature extraction capabilities
Emotion Recognition Capability
Fine-tuned specifically for speech emotion recognition tasks, capable of identifying four basic emotion categories
16kHz Sampling Rate Support
Supports 16kHz sampled speech input, consistent with the original pre-trained model

Model Capabilities

Speech Emotion Recognition
Audio Classification

Use Cases

Human-Computer Interaction
Customer Service System Emotion Analysis
Analyzes emotional states in customer speech to help customer service systems make more intelligent responses
Mental Health
Emotional State Monitoring
Analyzes users' emotional changes through speech for mental health applications
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