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Neunit Ks 529
N
Neunit Ks 529
Developed by SHENMU007
An audio classification model fine-tuned on the SUPERB dataset based on facebook/wav2vec2-base, achieving 99.98% accuracy
Downloads 14
Release Time : 5/29/2023
Model Overview
This model is a fine-tuned version for audio classification tasks, based on the wav2vec2 architecture, and performs excellently on the SUPERB dataset.
Model Features
High Accuracy
Achieved 99.98% accuracy on the evaluation set
Based on wav2vec2 Architecture
Uses facebook/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
Voice Command Recognition
Can be used to recognize specific voice commands or keywords
High accuracy recognition
Audio Content Classification
Classify and label audio content
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