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Wav2vec2 Large Slavic Voxpopuli V2 Hr SER

Developed by classla
A Croatian speech emotion recognition model fine-tuned from facebook/wav2vec2-large-slavic-voxpopuli-v2, trained on the CrES 2.1 dataset
Downloads 20
Release Time : 10/6/2022

Model Overview

This model is specifically designed for speech emotion recognition tasks in Croatian, capable of identifying emotional states in speech.

Model Features

Croatian Emotion Recognition
Speech emotion recognition capability specifically optimized for Croatian
Based on wav2vec2 architecture
Utilizes the wav2vec2-large-slavic-voxpopuli-v2 model optimized for Slavic languages as the base model
High-quality dataset
Fine-tuned using CrES 2.1 (Croatian Emotional Speech Corpus)

Model Capabilities

Speech emotion recognition
Croatian speech analysis
Emotion classification

Use Cases

Human-computer interaction
Customer service system emotion analysis
Analyze emotional states in customer speech to optimize service responses
Can identify multiple emotional states with an accuracy of 67.96%
Mental health
Mental health monitoring
Analyze user emotional states through speech
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