S

SER Wav2vec2 Large Xlsr 53 Eng Zho Adults

Developed by CAiRE
A cross-language and cross-age group speech emotion recognition model fine-tuned on wav2vec2-large-xlsr-53, supporting English and Chinese
Downloads 32
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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