SER Wav2vec2 Large Xlsr 53 Eng Zho Adults
A cross-language and cross-age group speech emotion recognition model fine-tuned on wav2vec2-large-xlsr-53, supporting English and Chinese
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Release Time : 6/27/2023
Model Overview
This model is optimized for elderly speech emotion recognition tasks, achieving adaptive recognition across languages and age groups in low-resource environments.
Model Features
Cross-language support
Supports speech emotion recognition in both English and Chinese
Elderly speech optimization
Specifically optimized and adapted for elderly speech characteristics
Low-resource adaptation
Maintains good recognition performance even with limited data resources
Multi-dataset training
Trained on multiple speech datasets including CREMA-D, ESD, IEMOCAP, and TESS
Model Capabilities
Speech emotion classification
Cross-language recognition
Elderly speech recognition
Use Cases
Healthcare
Elderly emotion monitoring
Monitor elderly emotional states through speech analysis
Can be used for early detection of emotional issues such as depression
Human-computer interaction
Age-friendly voice assistants
Provides more accurate emotion-aware interaction experiences for the elderly
Enhances user-friendliness of smart devices for the elderly
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