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Wav2vec2 Xlsr Japanese Speech Emotion Recognition
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Wav2vec2 Xlsr Japanese Speech Emotion Recognition
Developed by Bagus
A Japanese speech emotion recognition model based on the JTES dataset, used to analyze emotional states in speech.
Downloads 280
Release Time : 3/2/2022
Model Overview
This model is specifically designed for Japanese speech emotion recognition, capable of analyzing emotional states in speech such as happiness, sadness, anger, etc. Suitable for speech analysis and emotion computing applications.
Model Features
Japanese Speech Emotion Recognition
An emotion recognition model specifically designed for Japanese speech, capable of accurately identifying various emotional states.
Based on JTES Dataset
Trained using the JTES dataset, which contains a rich collection of Japanese speech emotion samples.
High Accuracy Classification
The model demonstrates high accuracy and robustness in emotion classification tasks.
Model Capabilities
Speech Emotion Recognition
Emotion Classification
Japanese Speech Analysis
Use Cases
Speech Analysis
Customer Service Emotion Analysis
Used to analyze customer emotional states in service calls, helping to improve service quality.
Can identify customer dissatisfaction, satisfaction, and other emotional states.
Film Dubbing Emotion Analysis
Used to analyze emotional expressions in film dubbing, assisting voice actors in adjusting their performances.
Can provide quantitative indicators of emotional expression.
Mental Health
Mental Health Monitoring
Used to monitor emotional changes in user speech, assisting in mental health assessments.
Can identify emotional states such as depression and anxiety.
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