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Wavlm Basic S F O 8batch 10sec 0.0001lr Unfrozen
A voice processing model fine-tuned based on microsoft/wavlm-large, achieving 80% accuracy and 79.57% F1 score on the evaluation set
Downloads 14
Release Time : 5/5/2023
Model Overview
This model is a voice processing model based on the WavLM architecture, fine-tuned for specific voice tasks
Model Features
High accuracy
Achieves 80% accuracy and 79.57% F1 score on the evaluation set
Fine-tuning optimization
Fine-tuned based on the WavLM-large model
Efficient training
Optimized training with a batch size of 8 and a learning rate of 0.0001
Model Capabilities
Voice feature extraction
Speech classification
Use Cases
Voice processing
Speech emotion recognition
Can be used to identify emotional features in speech
80% accuracy
Voice command classification
Can be used to classify different voice commands
79.57% F1 score
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