Wav2vec2 Large Slavic Voxpopuli V2 Hr SER
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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
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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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