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Hubert Base Superb Er

Developed by superb
This model is an emotion recognition model based on the Hubert-Base architecture, trained on the SUPERB emotion recognition task for speech emotion classification
Downloads 7,887
Release Time : 3/2/2022

Model Overview

This is a model for speech emotion recognition, based on the Hubert-Base architecture and trained on the IEMOCAP dataset, capable of recognizing multiple emotion categories such as happiness and neutrality

Model Features

Based on Hubert-Base Architecture
Uses hubert-base-ls960 pretrained on 16kHz speech data as the base model
Emotion Recognition Capability
Can accurately recognize emotion categories in speech, such as happiness and neutrality
Standardized Evaluation
Follows conventional evaluation protocols of the IEMOCAP dataset, tested on standard five-fold cross-validation

Model Capabilities

Speech Emotion Classification
Audio Feature Extraction
Multi-category Emotion Recognition

Use Cases

Sentiment Analysis
Customer Service Emotion Analysis
Analyze customer emotional states in service calls
Can recognize emotional states such as happiness and neutrality
Psychological State Assessment
Evaluate speaker's psychological state through speech analysis
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