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Wav2 Noise
W
Wav2 Noise
Developed by zylin12
A noise recognition model fine-tuned from facebook/wav2vec2-base with 93.89% accuracy
Downloads 1
Release Time : 10/22/2024
Model Overview
This model is used to identify noise in audio, fine-tuned based on the wav2vec2 architecture, suitable for scenarios such as audio quality detection
Model Features
High Accuracy
Achieves 93.89% accuracy on the evaluation set
Based on wav2vec2 Architecture
Utilizes wav2vec2's powerful audio feature extraction capabilities
Lightweight Fine-tuning
Only requires 1 training epoch to achieve good results
Model Capabilities
Audio Noise Recognition
Audio Quality Detection
Use Cases
Audio Processing
Call Quality Detection
Detects background noise in call recordings
93.89% noise recognition accuracy
Audio Preprocessing
Detects and filters noise segments before speech recognition
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