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Wav2vec2 Base Finetuned
A speech processing model fine-tuned based on the facebook/wav2vec2-base model, achieving 99.97% accuracy on the evaluation set
Downloads 105
Release Time : 4/22/2024
Model Overview
This model is a speech processing model based on the wav2vec2 architecture, fine-tuned on specific datasets to achieve high accuracy, suitable for tasks such as speech recognition
Model Features
High Accuracy
Achieves 99.97% accuracy on the evaluation set
Efficient Fine-tuning
Fine-tuned based on pre-trained models, with high training efficiency
Optimized Training
Uses linear learning rate scheduling and warm-up strategies to optimize the training process
Model Capabilities
Speech Recognition
Audio Feature Extraction
Use Cases
Speech Processing
Speech-to-Text
Convert speech content into text
Highly accurate conversion results
Voice Command Recognition
Recognize voice commands
Can be used in scenarios such as smart home control
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