Model: WpythonW/ast-fakeaudio-detector
Author: WpythonW
Pipeline: audio-classification
Library: transformers
Tags: transformers, safetensors, audio-spectrogram-transformer, audio-classification, audio, fake-audio-detection, ast, en, dataset:WpythonW/real-fake-voices-dataset2, dataset:mozilla-foundation/common_voice_17_0, base_model:MIT/ast-finetuned-audioset-10-10-0.4593, base_model:finetune:MIT/ast-finetuned-audioset-10-10-0.4593, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: MIT/ast-finetuned-audioset-10-10-0.4593
Card metadata: license: apache-2.0
datasets: WpythonW/real-fake-voices-dataset2, mozilla-foundation/common_voice_17_0
language: en
metrics: accuracy, f1, recall, precision
base_model: MIT/ast-finetuned-audioset-10-10-0.4593
pipeline_tag: audio-classification
library_name: transformers
tags: audio, audio-classification, fake-audio-detection, ast
widget: Upload an audio file to check if it's real or synthetic
inference: parameters: sampling_rate: 16000
audio_channel: mono
model-index: name: ast-fakeaudio-detector
results: task: type: audio-classification
name: Audio Classification
dataset: name: real-fake-voices-dataset2
type: WpythonW/real-fake-voices-dataset2
metrics: type: accuracy
value: 0.9662
verified: no, type: f1
value: 0.971
verified: no, type: precision
value: 0.9692
verified: no, type: recall
value: 0.9728
verified: no
Likes: 0 | All-time downloads: 24
Created: 2025-01-04 19:48:54