> For the complete documentation index, see [llms.txt](https://neuraldefend.gitbook.io/neural-defend/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://neuraldefend.gitbook.io/neural-defend/benchmark-neuroaudio-detection.md).

# BenchMark - NeuroAudio Detection

\
**Deepfake Audio Detection System – Benchmark Performance Analysis**\
**Report Generated:** August 20, 2025\
**Product Version:** NeuroAudio 2.0

***

### 📌 Key Performance Metrics

#### ✅ Detection Summary

* **Accuracy (Overall):** 96.78%
* **Precision:** 99.30%
* **Fake Audio Detection Accuracy:** 99.34%
* **False Positive Rate:** 0.66%

***

***

### 📊 Dataset Composition & Accuracy Breakdown

**Testing Phases:**

* Phase 1: 53,800 samples
* Phase 2: 100,000 samples

**Key Metrics Across Phases:**

* Accuracy: **96.78%**
* Precision: **99.30%**
* Fake Audio Detection Accuracy: **99.34%**
* False Positive Rate: **0.66%**

***

### 🔍 Detection Metrics Comparison

| Metric                      | Value                        |
| --------------------------- | ---------------------------- |
| Accuracy (Overall)          | 96.78%                       |
| Precision                   | 99.30%                       |
| Fake Audio Accuracy         | 99.34%                       |
| False Positive Rate         | 0.66%                        |
| Languages Covered           | 6 Major Languages            |
| Multilingual Accuracy Range | 94% – 97%                    |
| Top Generator Detection     | ElevenLabs: 99%, OpenAI: 98% |

***

### 🧠 Confusion Matrix – Phase 2

*(Matrix image or chart placeholder — can be embedded from original report)*

***

### 🧩 Key Findings

* Achieved **96.78% accuracy** consistently across both test phases.
* Maintains **extremely high precision (99.30%)**, minimizing false alarms.
* **Excellent fake audio detection accuracy of 99.34%.**
* **Very low false positive rate (0.66%)**, reducing risk of misclassification.
* Demonstrated **exceptional scalability** — performance remains stable even as dataset size increases.
* Strong **multi-language capabilities**, achieving 94–97% accuracy across six major languages.
* **Superior model detection**, with highest detection accuracy for:
  * **ElevenLabs-generated audio:** 99%
  * **OpenAI-generated audio:** 98%
* Comprehensive validation using **seven industry-standard datasets** ensures robustness in real-world deployment.

***

### ⚠️ Note on Future Evaluation

While NeuroAudio 1.0 delivers strong performance across current datasets and deepfake audio types, accuracy may vary when evaluated on **newer or more sophisticated deepfake generation techniques**.\
We are **committed to continuously updating our models** to ensure top-tier detection performance as threats evolve.

***

© 2025 Neural Defend. All Rights Reserved.\
\&#xNAN;*Confidential | Prepared by Neural Defend | Benchmark Report – NeuroAudio 1.0*


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