Sign inGet started
Dataset · Hugging Face

Mohammed01/ArFake

ArFake-Dataset ARFAKE: A Robust Framework for Multi-Dialect Arabic Speech Spoofing Detection Benchmark ARFAKE is the first end-to-end benchmark for Arabic speech spoofing detection across multiple dialects. The framework systematically generates synthetic Arabic speech, evaluates its intelligibility and realism, constructs a large-scale spoofing dataset, trains robust detectors, and evaluates generalization across both unseen generators and unseen dialects.… See the full description on the dataset page: https://huggingface.co/datasets/Mohammed01/ArFake.

Author / organizationMohammed01
Downloads544 (as reported by Hugging Face)
Likes4
Created20 September 2025
Last updated at source16 June 2026
Embed this entry
<iframe src="https://silytics.si/embed/item/9a5c9148-0357-4ffe-90ca-ac94626349ed" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.