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Is Vinyl Scratched Or Not

Developed by DunnBC22
An audio classification model fine-tuned based on wav2vec2-base, used to detect scratches in vinyl record audio.
Downloads 22
Release Time : 1/28/2023

Model Overview

This is a binary classifier designed to predict whether scratches exist in the audio samples played from vinyl records. It achieves high accuracy and F1 scores on the evaluation dataset.

Model Features

High Accuracy
Achieves 97.52% accuracy on the evaluation dataset
Balanced Performance
F1 score reaches 96.38%, demonstrating a good balance between recall and precision
Based on wav2vec2
Leverages the powerful wav2vec2-base architecture for fine-tuning

Model Capabilities

Audio Classification
Vinyl Record Quality Inspection
Audio Anomaly Detection

Use Cases

Audio Quality Inspection
Vinyl Record Scratch Detection
Automatically detects scratches by analyzing audio played from vinyl records
Accuracy 97.52%, F1 score 96.38%
Audio Restoration
Preprocessing Filtering
Pre-identifies scratched audio requiring restoration in the audio repair workflow
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