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Wavlm Base Deepfake V2

Developed by DavidCombei
A speech processing model fine-tuned based on microsoft/wavLM-base, achieving 99.62% accuracy on the evaluation set
Downloads 113
Release Time : 7/6/2024

Model Overview

This model is a speech processing model fine-tuned based on the wavLM-base architecture, primarily used for unknown speech-related tasks with high accuracy characteristics

Model Features

High accuracy
Achieves 99.62% accuracy on the evaluation set
Fine-tuning optimization
Targeted fine-tuning based on the wavLM-base model
Efficient training
Optimizes training process using techniques like gradient accumulation

Model Capabilities

Speech feature extraction
High-precision classification

Use Cases

Speech processing
Speech classification
Classify and recognize speech data
99.62% accuracy
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