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Neunit Ks Kangyuan0601
This model is a fine-tuned audio classification model based on facebook/wav2vec2-base on the superb dataset, achieving 99.87% accuracy on the evaluation set.
Downloads 16
Release Time : 6/1/2023
Model Overview
A fine-tuned model for audio classification tasks, based on the wav2vec2 architecture, suitable for speech-related classification tasks.
Model Features
High Accuracy
Achieved a high accuracy of 99.87% on the evaluation set.
Based on wav2vec2 Architecture
Uses facebook's wav2vec2-base as the base model.
Efficient Training
Optimized training process using mixed-precision training and gradient accumulation techniques.
Model Capabilities
Audio Classification
Speech Feature Extraction
Use Cases
Speech Processing
Speech Command Classification
Can be used to recognize and classify speech commands.
High accuracy recognition
Speech Emotion Analysis
Can be used to analyze emotional features in speech.
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