SER Wav2vec2 Large Xlsr 53 Eng Zho All Age
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SER Wav2vec2 Large Xlsr 53 Eng Zho All Age
Developed by CAiRE
A speech emotion recognition model fine-tuned based on wav2vec2-large-xlsr-53, supporting both English and Chinese, specially optimized for elderly speech
Downloads 243
Release Time : 6/27/2023
Model Overview
This model is a cross-lingual, cross-age speech emotion recognition model specifically optimized for low-resource elderly speech scenarios. Fine-tuned based on Facebook's wav2vec2-large-xlsr-53 architecture, it supports speech emotion recognition in both English and Chinese.
Model Features
Cross-language support
Supports speech emotion recognition in both English and Chinese
Elderly speech optimization
Specially optimized for elderly speech characteristics to improve recognition accuracy
Multi-age adaptation
Training data includes speakers of all age groups, making the model widely adaptable
Model Capabilities
Speech emotion recognition
Cross-language processing
Elderly speech analysis
Use Cases
Healthcare
Elderly emotion monitoring
Monitor elderly emotional states through speech analysis
Helps caregivers promptly detect emotional abnormalities
Human-computer interaction
Age-friendly voice assistants
Provides more accurate emotion-aware interaction experiences for the elderly
Enhances elderly users' friendliness with smart devices
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