Modotte/AIRealNet-Audio
audio-classification model by Modotte
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
In an era of rapidly advancing AI-generated speech, voice cloning, and audio deepfakes, the need for reliable detection tools has never been higher. AIRealNet-Audio is a binary audio classifier designed to distinguish AI-generated / spoofed audio from real human speech. It is built on a Wav2Vec-based audio encoder that processes audio in fixed 12-second chunks. The model uses a default decision threshold of 50%, which can be adjusted based on your use case. A key design choice addresses a common failure mode of public deepfake detectors: models quickly learn a shortcut based on embedding vector length (magnitude). To prevent this, all embeddings from the base model are L1-normalized onto the unit hypersphere, forcing the classifier to rely purely on angular (directional) information rather than magnitude. Default decision threshold: 0.5 (tune per use-case). This is a Wav2Vec-based audio encoder operating at 16 kHz, paired with a projection layer that maps its…
Read the full model card ↗ · Preview checked 2026-09-29T08:05:08.330Z
Inside the original model card — Document outline
- Modotte
- Overview
- Architecture
- Why Dual L1 Normalization?
- Training Behavior
- Training Data
- Limitations
- Performance
- Usage
- Sample Audio
- Quick Inference
- Notes for Production Use
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Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
Modotte/AIRealNet-Audio is a audio-classification model repository published by Modotte on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- audio-classification
- Library
- transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 1
- Hugging Face trending score
- 1
- Reported safetensors parameters
- 94,569,090
- Architecture
- Wav2Vec2DualHypersphereForAudioClassification
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-09-29T05:58:28.000Z
- Last modified
- 2026-09-29T06:06:04.000Z
Compatibility and lineage
Reported languages: multilingual
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-29T06:38:10.429Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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